Embedded newform data - 608.2.b.c.303.3

Formats: - HTML - YAML - JSON - 2025-09-17T19:45:11.378274

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 2432, 'analytic_conductor': 4.854904442893847, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 152, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [608, 2, [191, 229, 97], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 303, 'dim': 12, 'field_disc': 319794774016000000, 'field_disc_factorization': [[2, 22], [5, 6], [47, 4]], 'field_poly': [64, 0, -32, 0, 8, 0, 0, 0, 2, 0, -2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [8, 0, 20, 0, 11, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007268007772768, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 256, 'hecke_ring_index_factorization': [[2, 8]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 4, -1, 2, 0], [1, 1, 19, 2, -1, 2, 0], [1, 1, 152, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '608.2.b.c', 'level': 608, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 19], 'level_radical': 38, 'minimal_twist': '152.2.b.c', 'nf_label': '12.0.319794774016000000.1', 'prim_orbit_index': 2, 'qexp_display': 'q-\\beta _{1}q^{3}+(-\\beta _{3}-\\beta _{7})q^{5}-\\beta _{7}q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '608.2.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1178481619157669632, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.030', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.372', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '941.437', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '133821.505', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.769', 'prec': 17}, 'traces': [12, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 12, 0, 24, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 36, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -76, 0, 104, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -28, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 100, 0, 16, 0, 0, 0, 0, 0, 48, 0, -80, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -32, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 20, 0, 48, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 32, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -52, 0, 160, 0, 0, 0, 0, 0, 156, 0, 136, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, 40, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 52, 0, -160, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, -144, 0, -264, 0, 0, 0, 0, 0, -168, 0, -40, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 232, 0, 0, 0, 0, 0, -36, 0, 208, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 136, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -228, 0, -48, 0, 0, 0, 0, 0, 292, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 124, 0, 0, 0, 0, 0, 0, 0, -36, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -344, 0, 0, 0, 0, 0, 28, 0, -312, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 72, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, -28, 0, -216, 0, 0, 0, 0, 0, 80, 0, -200, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 552, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -196, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -64, 0, -368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 224, 0, 160, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, -244, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 504, 0, 0, 0, 0, 0, 44, 0, 48, 0, 0, 0, 0, 0, 124, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, -196, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -356, 0, 296, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.0, -0.7283379954185611], [0.0, 0.0], [0.0, -1.573635392240912], [0.0, 0.0], [0.0, -0.8451542547285166], [0.0, 0.0], [0.469523764429672, 0.0], [0.0, 0.0], [-0.8729074583131544, 0.0], [0.0, 0.0], [1.74808359418598, 0.0], [0.0, 0.0], [-1.1461384471044471, 0.0], [0.0, 0.0], [-1.1617973117381548, 0.0], [0.0, 0.0], [-0.20535151824383613, 0.9786882823222884], [0.0, 0.0], [-0.6155579557084357, 0.0], [0.0, 0.0], [0.0, -0.10927602079770311], [0.0, 0.0], [-1.476328347713209, 0.0], [0.0, 0.0], [0.0, -1.0703099928046451], [0.0, 0.0], [-0.0771429419612539, 0.0], [0.0, 0.0], [0.21601250643399866, 0.0], [0.0, 0.0], [0.0, 0.6357716683737141], [0.0, 0.0], [-1.329964647143785, 0.0], [0.0, 0.0], [-0.96787891145534, 0.0], [0.0, 0.0], [0.0, -1.2731957008134902], [0.0, 0.0], [0.0, 0.7620930472262907], [0.0, 0.0], [1.6294959545838792, 0.0], [0.0, 0.0], [0.0, -0.7388592132047165], [0.0, 0.0], [0.0, -0.6239191301537623], [0.0, 0.0], [0.2857142857142857, 0.0], [0.0, 0.0], [0.0, 0.846181125114041], [0.0, 0.0], [-0.8320079506519017, 0.0], [0.0, 0.0], [0.0, 1.3736380705526383], [0.0, 0.0], [0.7128158616862504, 0.1495653131538737], [0.0, 0.0], [0.0, 1.0525162461209556], [0.0, 0.0], [0.0, -1.0730022485539048], [0.0, 0.0], [0.0, -0.396820007203887], [0.0, 0.0], [0.0, -2.7508462124067576], [0.0, 0.0], [0.0, -1.1964695140009227], [0.0, 0.0], [-0.07958987793511609, 0.0], [0.0, 0.0], [1.2105406228647109, 0.0], [0.0, 0.0], [0.9086236041723054, 0.0], [0.0, 0.0], [0.0, 1.0752660293530352], [0.0, 0.0], [0.0, 0.7377414523776177], [0.0, 0.0], [-0.8253397361063506, 0.0], [0.0, 0.0], [-0.31002367020611793, 0.0], [0.0, 0.0], [-0.2195285199793807, 0.0], [0.0, 0.0], [0.0, 1.8282453683615085], [0.0, 0.0], [0.0, 0.05618613570875008], [0.0, 0.0], [0.0, 1.2915265196159198], [0.0, 0.0], [0.0, -1.4774002872473986], [0.0, 0.0], [0.0, -0.15733011592147764], [0.0, 0.0], [1.5400985190338188, 0.3231484169589059], [0.0, 0.0], [0.0, -0.2224057336335058], [0.0, 0.0], [-0.4098507958259292, 0.0], [0.0, 0.0], [0.0, 0.1509706935023785], [0.0, 0.0], [-0.08186656710323996, 0.0], [0.0, 0.0], [0.0, 0.9686637850782583], [0.0, 0.0], [0.0, 0.07541224546633868], [0.0, 0.0], [0.5801658509097726, 0.0], [0.0, 0.0], [0.0, 0.7049429861772813], [0.0, 0.0], [0.0, -0.3371812562807105], [0.0, 0.0], [-0.17196061385051958, 0.0], [0.0, 0.0], [0.8207667896799523, 0.0], [0.0, 0.0], [0.0, 0.9818979411476544], [0.0, 0.0], [-0.2380325692212686, 0.0], [0.0, 0.0], [0.5550613223392195, 0.0], [0.0, 0.0], [0.0, 0.7495671462891413], [0.0, 0.0], [1.5124623612746104, 0.0], [0.0, 0.0], [0.0, -1.1868238171042773], [0.0, 0.0], [1.0233039553483712, 0.0], [0.0, 0.0], [0.8271425658576257, 0.1735537093587387], [0.0, 0.0], [-1.6842776853465056, 0.0], [0.0, 0.0], [0.08083427151238162, 0.0], [0.0, 0.0], [0.07135367372996711, 0.0], [0.0, 0.0], [-0.45442400855948356, 0.0], [0.0, 0.0], [-1.5259152071198074, 0.0], [0.0, 0.0], [0.0, 0.1213948637318157], [0.0, 0.0], [0.0, -0.2080965701195889], [0.0, 0.0], [0.0, -0.9286251653390941], [0.0, 0.0], [-0.7624662127449261, 0.0], [0.0, 0.0], [-0.5454914473115716, 0.0], [0.0, 0.0], [0.0, -0.33992492529120805], [0.0, 0.0], [0.0, 1.3902231306232415], [0.0, 0.0], [0.0, 0.6059830029501112], [0.0, 0.0], [-0.09235509391698064, 0.0], [0.0, 0.0], [1.5934423089384373, 0.0], [0.0, 0.0], [1.0004727987369286, 0.0], [0.0, 0.0], [1.0685196342432794, 0.0], [0.0, 0.0], [2.0557962522621738, 0.0], [0.0, 0.0], [-0.0964174178771944, 0.45951740651917045], [0.0, 0.0], [-0.22023999948817718, 0.0], [0.0, 0.0], [0.0, 1.2477251844461394], [0.0, 0.0], [0.7665875728452057, 0.0], [0.0, 0.0], [0.0, -0.7953860170755176], [0.0, 0.0], [0.17879297519249598, 0.0], [0.0, 0.0], [-0.7815083067913597, 0.0], [0.0, 0.0], [0.0, 1.523088510469731], [0.0, 0.0], [1.0141415384644084, 0.0], [0.0, 0.0], [-0.9045770442972938, 0.0], [0.0, 0.0], [0.0, -0.7273825610443375], [0.0, 0.0], [0.0, 1.082593389381999], [0.0, 0.0], [-2.0035458160490793, 0.0], [0.0, 0.0], [0.0, -0.983631903477617], 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0.0], [-1.3886260629599227, 0.0], [0.0, 0.0], [-0.9940489665055626, 0.0], [0.0, 0.0], [0.027385983348193726, 0.0], [0.0, 0.0], [0.0, -3.2350737417959827], [0.0, 0.0], [0.0, 0.20117423864131528], [0.0, 0.0], [0.0, 1.3434080157533776], [0.0, 0.0], [0.0, 0.10576595605785198], [0.0, 0.0], [0.0, -1.0011257629443562], [0.0, 0.0], [0.7231128542493215, 0.15172586120003473], [0.0, 0.0], [0.0, 1.1704330429110263], [0.0, 0.0], [-0.05126334648541925, 0.0], [0.0, 0.0], [0.0, -0.46911243821022786], [0.0, 0.0], [-1.8224945084651716, 0.0], [0.0, 0.0], [0.0, 0.34657745798171596], [0.0, 0.0], [0.0, -0.2547529609824989], [0.0, 0.0], [0.7204452112894442, 0.0], [0.0, 0.0], [0.0, -2.0915287283686856], [0.0, 0.0], [0.0, -0.10442477728634654], [0.0, 0.0], [0.6334998628909801, 0.0], [0.0, 0.0], [0.2689425572530742, 0.0], [0.0, 0.0], [0.0, -1.3055676673900627], [0.0, 0.0], [-0.026252265025209116, 0.0], [0.0, 0.0], [-0.14880115973392882, 0.0], [0.0, 0.0], [0.0, -1.2063293358812741], [0.0, 0.0], [0.515418910188918, 0.0], [0.0, 0.0], [0.0, -1.2782639997479759], [0.0, 0.0], [0.27062197397653803, 0.0], [0.0, 0.0], [0.610622341798202, 0.1281227406384487], [0.0, 0.0], [-1.2516475869635688, 0.0], [0.0, 0.0], [-0.13912975988164114, 0.0], [0.0, 0.0], [-0.016663840246742945, 0.0], [0.0, 0.0], [0.9666246004121508, 0.0], [0.0, 0.0], [-1.0030491986388188, 0.0], [0.0, 0.0], [0.0, -0.28135495364696306], [0.0, 0.0], [0.0, 0.7197256934957678], [0.0, 0.0], [0.0, 0.07088432833179496], [0.0, 0.0], [0.6955015826152631, 0.0], [0.0, 0.0], [0.19162808240244975, 0.0], [0.0, 0.0], [0.0, 1.2298091308971524], [0.0, 0.0], [0.0, -0.8648496917431958], [0.0, 0.0], [0.0, -0.4213062993389493], [0.0, 0.0], [0.6521096906908751, 0.0], [0.0, 0.0], [2.1161262029254786, 0.0], [0.0, 0.0], [1.4289070741353216, 0.0], [0.0, 0.0], [-0.038438298767247574, 0.0], [0.0, 0.0], [-0.29915173377542326, 0.0], [0.0, 0.0], [-0.05867186235538175, 0.27962522352065383], [0.0, 0.0], [-1.172918221050984, 0.0], [0.0, 0.0], [0.0, -1.595889017669241], [0.0, 0.0], [0.20198514742649754, 0.0], [0.0, 0.0], [0.0, 0.22797120525793813], [0.0, 0.0], [-0.6163967158252925, 0.0], [0.0, 0.0], [0.08327849567848508, 0.0], [0.0, 0.0], [0.0, 1.423474451914897], [0.0, 0.0], [1.0801846166399078, 0.0], [0.0, 0.0], [1.5883500157437427, 0.0], [0.0, 0.0], [0.0, -0.4886195432084857], [0.0, 0.0], [0.0, -1.4002556377540798], [0.0, 0.0], [-1.1446349417582051, 0.0], [0.0, 0.0], [0.0, -0.04904529691396299], [0.0, 0.0], [0.0, -0.06831742849656944], [0.0, 0.0], [-0.9533385970641017, 0.0], [0.0, 0.0], [0.0, 0.0354078413754498], [0.0, 0.0], [1.7036072729375606, 0.0], [0.0, 0.0], [0.0, -0.790355578585108], [0.0, 0.0], [-0.8281475518714022, -0.17376457875144577], [0.0, 0.0], [0.0, 1.0079397957435], [0.0, 0.0], [0.0, -0.06030486094339208], [0.0, 0.0], [0.0, 1.8796549052975413], [0.0, 0.0], [0.0, -1.1822391790385132], [0.0, 0.0], [0.0, -1.127383131581967], [0.0, 0.0], [0.27240165431270025, 0.0], [0.0, 0.0], [0.9948819497608781, 0.0], [0.0, 0.0], [-1.5478779762496748, 0.0], [0.0, 0.0], [0.0, 0.3840583842848354], [0.0, 0.0], [0.0, -0.17806483382288105], [0.0, 0.0], [-1.4003323555457479, 0.0], [0.0, 0.0], [0.6220277317739459, 0.0], [0.0, 0.0], [0.821783789711912, 0.0], [0.0, 0.0], [0.0, -0.6631194982460442], [0.0, 0.0], [0.0, 1.0359304707555328], [0.0, 0.0]], 'angles': [None, -0.44067652679548003, -0.35586359206680834, -0.43056277900675033, -0.3218828695864763, -0.08074507031045429, -0.348649372657357, None, -0.4912997580741702, -0.2561403634740545, -0.23277667354570394, -0.33039725493724126, 0.06221811614129322, -0.09843763868345701, -0.449507325743178, -0.3182848819865118, 0.08820271709581683, -0.4098728573804392, -0.3979345117608458, -0.14653251169424655, -0.1749426024892478, -0.31770184013251085, -0.26750479548332556, 0.11173035059667762, -0.4822648327611623, 0.012025304664076615, -0.25651655506348725, 0.006002538744467687, -0.2031585535753904, -0.47303920748207384, -0.11351926609342597, -0.1645168613243008, -0.24356566045025405, -0.2443206498100546, -0.4231507148622435, -0.3122502362162593, 0.12232252274837564, -0.10328298167134145, -0.16029520014061527, -0.2675617585345887, -0.4349054547215041, -0.23575308770742112, -0.44075815543025176, 0.09103320602399755, -0.418166642083463, 0.04204426168459479, 0.09056495726058546, -0.31234740258119315, 0.07945439933812078, 0.10695259098198594, -0.22276447825268164, -0.4352861367516157, -0.29316468116262856, -0.3679739598389897, -0.43040266726316123, 0.06081346129149741, -0.36208179666397927, -0.41858990739207436, -0.48088677962091186, 0.0029923410902103083, -0.4368225101984346, -0.07313506480292382, 0.07387297709913583, -0.3510284588960731, -0.2750107165571317, -0.1955584207564462, 0.07021805778443863, -0.35161611119482633, -0.1630985648254515, 0.0541258815653513, -0.21052104322955772, 0.08299004924035772, 0.09095172857805935, -0.23250741238229136, -0.4632472394271267, -0.3568523644053174, -0.48768313917743195, 0.059867804503721096, 0.1270720696131662, 0.06473909708177458, -0.25656471446312346, -0.3133986849427776, -0.2022702531453687, 0.0898945675639238, -0.43246902684122884, -0.28644869123539934, 0.015358169339660981, -0.11818080463451086, -0.45644921419828427, 0.14368727081065114, -0.3756465813766051, 0.12242275189121875, -0.23138564692602456, -0.32590495195374375, -0.18174664593316878, 0.11037916027586782, -0.14846493500901203, 0.06967504466281688, 0.13173175090637765, 0.060292780808422874, 0.04276651543987396, 0.08447356830978034, -0.48231304778517037, 0.17638807573564283, -0.19547699352935138, -0.22142096721617782, -0.1311192114926178, -0.20708783661748306, -0.20729382358006346, 0.0004410991426199903, -0.358731130704951, -0.42884819139609653, -0.2541860835138243, -0.13037111325783932, -0.4761470122205095, -0.49614129528532824, -0.3301556389391043, -0.4981278587167696, 0.11863381764751019, 0.036178016045875845, -0.2823187068053589, 0.02825341581447588, -0.34848447825825807, 0.06651872583675424, -0.2210067735940641, -0.40873109709673333, -0.45026739898220075, -0.47690018286534064, 0.1100594003260757, -0.35619434565756036, -0.274196209157298, -0.24865996399001955, -0.23700150526145491, 0.06507070993261757, -0.21142553051054863, -0.2639184631255606, -0.12200336411076089, -0.4966508013832067, -0.40663785911020034, -0.3159162705782611, -0.47911040056304766, 0.17601692534870897, -0.3951361146006168, -0.44174873728470826, -0.3216016762153036, -0.3721458331873015, -0.41656320296969906, 0.09949524369965243, -0.25407985431174396, -0.4324396829787787, -0.22853320107177583, -0.25208914886776335, -0.2618521717631497, -0.20851613163787958, 0.058588258929060194, -0.19347276381770742, -0.4662204688322355, -0.27389541175593435, -0.23389908294745124, -0.29986302408029614, -0.15919465862744728, -0.37656316714768334, -0.4353414922665327, 0.08406387704722537, -0.399343061159246, -0.16713655503579858, -0.37344538329878674, -0.4462125742195199], 'char_orbit_index': 2, 'conrey_index': 303, 'dual_conrey_index': 303, 'dual_embedding_index': 10, 'dual_embedding_m': 10, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.7926955243599975, 'embedding_root_real': 1.1711677103043905, 'hecke_orbit': 3, 'hecke_orbit_code': 9007268007772768, 'label': '608.2.b.c.303.3', 'level': 608, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 2432, 'analytic_conductor': 4.854904442893847, 'char_conductor': 152, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [608, 2, [191, 229, 97], [1, 1, 1]], 'conrey_index': 303, 'cusp_dim': 72, 'dim': 18, 'eis_dim': 16, 'eis_new_dim': 4, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 68753031776, 'hecke_orbit_dims': [2, 4, 12], 'label': '608.2.b', 'level': 608, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 19], 'level_radical': 38, 'mf_dim': 88, 'mf_new_dim': 22, 'num_forms': 3, 'prim_orbit_index': 2, 'relative_dim': 18, 'sturm_bound': 160, 'trace_bound': 1, 'trace_display': [0, 0, 0, 0], 'traces': [18, 0, 0, 0, 0, 0, 0, 0, -18, 0, 4, 0, 0, 0, 0, 0, -4, 0, 10, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 2, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -6, 0, -8, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 36, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, 40, 0, -36, 0, 0, 0, 0, 0, -10, 0, -90, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, -52, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 80, 0, 68, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 6, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -52, 0, 160, 0, 0, 0, 0, 0, 80, 0, 140, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -296, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 40, 0, 276, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -28, 0, -160, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -86, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 116, 0, 0, 0, 0, 0, 0, 0, -144, 0, -244, 0, 0, 0, 0, 0, -48, 0, -110, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 196, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 78, 0, 0, 0, 0, 0, 0, 0, 144, 0, -212, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, -140, 0, 256, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 108, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 100, 0, 196, 0, 0, 0, 0, 0, -78, 0, 144, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -300, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -96, 0, 292, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -296, 0, 0, 0, 0, 0, 6, 0, -192, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 72, 0, -164, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -124, 0, 0, 0, 0, 0, 0, 0, 204, 0, -344, 0, 0, 0, 0, 0, -40, 0, -248, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 552, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -140, 0, 0, 0, 0, 0, 0, 0, -140, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, -218, 0, -528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 196, 0, 292, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, -184, 0, 272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 144, 0, 584, 0, 0, 0, 0, 0, 148, 0, 190, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 0, -316, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, -62, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 16, 0, 296, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 40555325
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 303, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007772768, 'source_is_minimal': False, 'source_label': '608.2.b.c.303.3', 'source_level': 608, 'target_conrey_index': 303, 'target_dim': 12, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007268007772768, 'target_is_minimal': False, 'target_label': '608.2.b.c.303.3', 'target_level': 608, 'twist_class_label': '152.2.b.c.75.3', 'twist_class_level': 152, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 40555326
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 303, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007772768, 'source_is_minimal': False, 'source_label': '608.2.b.c.303.3', 'source_level': 608, 'target_conrey_index': 5167, 'target_dim': 12, 'target_embedding_index': 12, 'target_hecke_orbit_code': 18014673420948832, 'target_is_minimal': False, 'target_label': '5472.2.e.e.5167.12', 'target_level': 5472, 'twist_class_label': '152.2.b.c.75.3', 'twist_class_level': 152, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 40555327
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 303, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007772768, 'source_is_minimal': False, 'source_label': '608.2.b.c.303.3', 'source_level': 608, 'target_conrey_index': 75, 'target_dim': 12, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007268007772312, 'target_is_minimal': True, 'target_label': '152.2.b.c.75.3', 'target_level': 152, 'twist_class_label': '152.2.b.c.75.3', 'twist_class_level': 152, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 40555328
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 303, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007772768, 'source_is_minimal': False, 'source_label': '608.2.b.c.303.3', 'source_level': 608, 'target_conrey_index': 303, 'target_dim': 12, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007268007772768, 'target_is_minimal': False, 'target_label': '608.2.b.c.303.4', 'target_level': 608, 'twist_class_label': '152.2.b.c.75.3', 'twist_class_level': 152, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 40555329
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 303, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007772768, 'source_is_minimal': False, 'source_label': '608.2.b.c.303.3', 'source_level': 608, 'target_conrey_index': 75, 'target_dim': 12, 'target_embedding_index': 9, 'target_hecke_orbit_code': 9007268007772312, 'target_is_minimal': True, 'target_label': '152.2.b.c.75.9', 'target_level': 152, 'twist_class_label': '152.2.b.c.75.3', 'twist_class_level': 152, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 40555330
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 303, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007772768, 'source_is_minimal': False, 'source_label': '608.2.b.c.303.3', 'source_level': 608, 'target_conrey_index': 379, 'target_dim': 12, 'target_embedding_index': 10, 'target_hecke_orbit_code': 18014673420944728, 'target_is_minimal': False, 'target_label': '1368.2.e.e.379.10', 'target_level': 1368, 'twist_class_label': '152.2.b.c.75.3', 'twist_class_level': 152, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 40555331
    {'conductor': 19, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 303, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007772768, 'source_is_minimal': False, 'source_label': '608.2.b.c.303.3', 'source_level': 608, 'target_conrey_index': 303, 'target_dim': 12, 'target_embedding_index': 9, 'target_hecke_orbit_code': 9007268007772768, 'target_is_minimal': False, 'target_label': '608.2.b.c.303.9', 'target_level': 608, 'twist_class_label': '152.2.b.c.75.3', 'twist_class_level': 152, 'twisting_char_label': '19.18', 'twisting_conrey_index': 18, 'weight': 2}
  • id: 40555332
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 303, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007772768, 'source_is_minimal': False, 'source_label': '608.2.b.c.303.3', 'source_level': 608, 'target_conrey_index': 379, 'target_dim': 12, 'target_embedding_index': 4, 'target_hecke_orbit_code': 18014673420944728, 'target_is_minimal': False, 'target_label': '1368.2.e.e.379.4', 'target_level': 1368, 'twist_class_label': '152.2.b.c.75.3', 'twist_class_level': 152, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 40555333
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 303, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007772768, 'source_is_minimal': False, 'source_label': '608.2.b.c.303.3', 'source_level': 608, 'target_conrey_index': 5167, 'target_dim': 12, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014673420948832, 'target_is_minimal': False, 'target_label': '5472.2.e.e.5167.1', 'target_level': 5472, 'twist_class_label': '152.2.b.c.75.3', 'twist_class_level': 152, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 40555334
    {'conductor': 57, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 303, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007772768, 'source_is_minimal': False, 'source_label': '608.2.b.c.303.3', 'source_level': 608, 'target_conrey_index': 5167, 'target_dim': 12, 'target_embedding_index': 11, 'target_hecke_orbit_code': 18014673420948832, 'target_is_minimal': False, 'target_label': '5472.2.e.e.5167.11', 'target_level': 5472, 'twist_class_label': '152.2.b.c.75.3', 'twist_class_level': 152, 'twisting_char_label': '57.56', 'twisting_conrey_index': 56, 'weight': 2}
  • id: 40555335
    {'conductor': 76, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 303, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007772768, 'source_is_minimal': False, 'source_label': '608.2.b.c.303.3', 'source_level': 608, 'target_conrey_index': 75, 'target_dim': 12, 'target_embedding_index': 10, 'target_hecke_orbit_code': 9007268007772312, 'target_is_minimal': True, 'target_label': '152.2.b.c.75.10', 'target_level': 152, 'twist_class_label': '152.2.b.c.75.3', 'twist_class_level': 152, 'twisting_char_label': '76.75', 'twisting_conrey_index': 75, 'weight': 2}
  • id: 40555336
    {'conductor': 152, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 303, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007772768, 'source_is_minimal': False, 'source_label': '608.2.b.c.303.3', 'source_level': 608, 'target_conrey_index': 75, 'target_dim': 12, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007268007772312, 'target_is_minimal': True, 'target_label': '152.2.b.c.75.4', 'target_level': 152, 'twist_class_label': '152.2.b.c.75.3', 'twist_class_level': 152, 'twisting_char_label': '152.37', 'twisting_conrey_index': 37, 'weight': 2}
  • id: 40555337
    {'conductor': 152, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 303, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007772768, 'source_is_minimal': False, 'source_label': '608.2.b.c.303.3', 'source_level': 608, 'target_conrey_index': 303, 'target_dim': 12, 'target_embedding_index': 10, 'target_hecke_orbit_code': 9007268007772768, 'target_is_minimal': False, 'target_label': '608.2.b.c.303.10', 'target_level': 608, 'twist_class_label': '152.2.b.c.75.3', 'twist_class_level': 152, 'twisting_char_label': '152.75', 'twisting_conrey_index': 75, 'weight': 2}
  • id: 40555338
    {'conductor': 228, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 303, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007772768, 'source_is_minimal': False, 'source_label': '608.2.b.c.303.3', 'source_level': 608, 'target_conrey_index': 379, 'target_dim': 12, 'target_embedding_index': 3, 'target_hecke_orbit_code': 18014673420944728, 'target_is_minimal': False, 'target_label': '1368.2.e.e.379.3', 'target_level': 1368, 'twist_class_label': '152.2.b.c.75.3', 'twist_class_level': 152, 'twisting_char_label': '228.227', 'twisting_conrey_index': 227, 'weight': 2}
  • id: 40555339
    {'conductor': 456, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 303, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007772768, 'source_is_minimal': False, 'source_label': '608.2.b.c.303.3', 'source_level': 608, 'target_conrey_index': 5167, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014673420948832, 'target_is_minimal': False, 'target_label': '5472.2.e.e.5167.2', 'target_level': 5472, 'twist_class_label': '152.2.b.c.75.3', 'twist_class_level': 152, 'twisting_char_label': '456.227', 'twisting_conrey_index': 227, 'weight': 2}
  • id: 40555340
    {'conductor': 456, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 303, 'source_dim': 12, 'source_embedding_index': 3, 'source_hecke_orbit_code': 9007268007772768, 'source_is_minimal': False, 'source_label': '608.2.b.c.303.3', 'source_level': 608, 'target_conrey_index': 379, 'target_dim': 12, 'target_embedding_index': 9, 'target_hecke_orbit_code': 18014673420944728, 'target_is_minimal': False, 'target_label': '1368.2.e.e.379.9', 'target_level': 1368, 'twist_class_label': '152.2.b.c.75.3', 'twist_class_level': 152, 'twisting_char_label': '456.341', 'twisting_conrey_index': 341, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1115100
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 9007268007772768, 'p': 2}
  • id: 1115101
    {'charpoly_factorization': [[[8, 0, 20, 0, 11, 0, 1], 2]], 'hecke_orbit_code': 9007268007772768, 'p': 3}
  • id: 1115102
    {'charpoly_factorization': [[[500, 0, 209, 0, 26, 0, 1], 2]], 'hecke_orbit_code': 9007268007772768, 'p': 5}
  • id: 1115103
    {'charpoly_factorization': [[[5, 0, 1], 6]], 'hecke_orbit_code': 9007268007772768, 'p': 7}
  • id: 1115104
    {'charpoly_factorization': [[[4, -7, 0, 1], 4]], 'hecke_orbit_code': 9007268007772768, 'p': 11}
  • id: 1115105
    {'charpoly_factorization': [[[-640, 0, 464, 0, -51, 0, 1], 2]], 'hecke_orbit_code': 9007268007772768, 'p': 13}
  • id: 1115106
    {'charpoly_factorization': [[[59, -25, -3, 1], 4]], 'hecke_orbit_code': 9007268007772768, 'p': 17}
  • id: 1115107
    {'charpoly_factorization': [[[6859, -4332, 1463, -376, 77, -12, 1], 2]], 'hecke_orbit_code': 9007268007772768, 'p': 19}
  • id: 1115108
    {'charpoly_factorization': [[[320, 0, 1184, 0, 69, 0, 1], 2]], 'hecke_orbit_code': 9007268007772768, 'p': 23}
  • id: 1115109
    {'charpoly_factorization': [[[-40, 0, 244, 0, -71, 0, 1], 2]], 'hecke_orbit_code': 9007268007772768, 'p': 29}
  • id: 1115110
    {'charpoly_factorization': [[[-640, 0, 504, 0, -44, 0, 1], 2]], 'hecke_orbit_code': 9007268007772768, 'p': 31}
  • id: 1115111
    {'charpoly_factorization': [[[-2560, 0, 1784, 0, -84, 0, 1], 2]], 'hecke_orbit_code': 9007268007772768, 'p': 37}
  • id: 1115112
    {'charpoly_factorization': [[[70688, 0, 5640, 0, 136, 0, 1], 2]], 'hecke_orbit_code': 9007268007772768, 'p': 41}
  • id: 1115113
    {'charpoly_factorization': [[[10, -51, -6, 1], 4]], 'hecke_orbit_code': 9007268007772768, 'p': 43}
  • id: 1115114
    {'charpoly_factorization': [[[80, 0, 1609, 0, 106, 0, 1], 2]], 'hecke_orbit_code': 9007268007772768, 'p': 47}
  • id: 1115115
    {'charpoly_factorization': [[[-112360, 0, 8724, 0, -191, 0, 1], 2]], 'hecke_orbit_code': 9007268007772768, 'p': 53}
  • id: 1115116
    {'charpoly_factorization': [[[12800, 0, 2656, 0, 103, 0, 1], 2]], 'hecke_orbit_code': 9007268007772768, 'p': 59}
  • id: 1115117
    {'charpoly_factorization': [[[50000, 0, 10809, 0, 214, 0, 1], 2]], 'hecke_orbit_code': 9007268007772768, 'p': 61}
  • id: 1115118
    {'charpoly_factorization': [[[75272, 0, 6452, 0, 155, 0, 1], 2]], 'hecke_orbit_code': 9007268007772768, 'p': 67}
  • id: 1115119
    {'charpoly_factorization': [[[-3504640, 0, 72384, 0, -476, 0, 1], 2]], 'hecke_orbit_code': 9007268007772768, 'p': 71}
  • id: 1115120
    {'charpoly_factorization': [[[97, -65, -1, 1], 4]], 'hecke_orbit_code': 9007268007772768, 'p': 73}
  • id: 1115121
    {'charpoly_factorization': [[[-1697440, 0, 51464, 0, -424, 0, 1], 2]], 'hecke_orbit_code': 9007268007772768, 'p': 79}
  • id: 1115122
    {'charpoly_factorization': [[[2, 1], 12]], 'hecke_orbit_code': 9007268007772768, 'p': 83}
  • id: 1115123
    {'charpoly_factorization': [[[231200, 0, 13960, 0, 232, 0, 1], 2]], 'hecke_orbit_code': 9007268007772768, 'p': 89}
  • id: 1115124
    {'charpoly_factorization': [[[2048, 0, 1920, 0, 316, 0, 1], 2]], 'hecke_orbit_code': 9007268007772768, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 2, 'hecke_orbit': 3, 'label': '608.2.b.c', 'level': 608, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29576065
    {'hecke_orbit_code': 9007268007772768, 'n': 1, 'trace_an': 12}
  • id: 29576066
    {'hecke_orbit_code': 9007268007772768, 'n': 2, 'trace_an': 0}
  • id: 29576067
    {'hecke_orbit_code': 9007268007772768, 'n': 3, 'trace_an': 0}
  • id: 29576068
    {'hecke_orbit_code': 9007268007772768, 'n': 4, 'trace_an': 0}
  • id: 29576069
    {'hecke_orbit_code': 9007268007772768, 'n': 5, 'trace_an': 0}
  • id: 29576070
    {'hecke_orbit_code': 9007268007772768, 'n': 6, 'trace_an': 0}
  • id: 29576071
    {'hecke_orbit_code': 9007268007772768, 'n': 7, 'trace_an': 0}
  • id: 29576072
    {'hecke_orbit_code': 9007268007772768, 'n': 8, 'trace_an': 0}
  • id: 29576073
    {'hecke_orbit_code': 9007268007772768, 'n': 9, 'trace_an': -8}
  • id: 29576074
    {'hecke_orbit_code': 9007268007772768, 'n': 10, 'trace_an': 0}
  • id: 29576075
    {'hecke_orbit_code': 9007268007772768, 'n': 11, 'trace_an': 0}
  • id: 29576076
    {'hecke_orbit_code': 9007268007772768, 'n': 12, 'trace_an': 0}
  • id: 29576077
    {'hecke_orbit_code': 9007268007772768, 'n': 13, 'trace_an': 0}
  • id: 29576078
    {'hecke_orbit_code': 9007268007772768, 'n': 14, 'trace_an': 0}
  • id: 29576079
    {'hecke_orbit_code': 9007268007772768, 'n': 15, 'trace_an': 0}
  • id: 29576080
    {'hecke_orbit_code': 9007268007772768, 'n': 16, 'trace_an': 0}
  • id: 29576081
    {'hecke_orbit_code': 9007268007772768, 'n': 17, 'trace_an': 12}
  • id: 29576082
    {'hecke_orbit_code': 9007268007772768, 'n': 18, 'trace_an': 0}
  • id: 29576083
    {'hecke_orbit_code': 9007268007772768, 'n': 19, 'trace_an': 24}
  • id: 29576084
    {'hecke_orbit_code': 9007268007772768, 'n': 20, 'trace_an': 0}
  • id: 29576085
    {'hecke_orbit_code': 9007268007772768, 'n': 21, 'trace_an': 0}
  • id: 29576086
    {'hecke_orbit_code': 9007268007772768, 'n': 22, 'trace_an': 0}
  • id: 29576087
    {'hecke_orbit_code': 9007268007772768, 'n': 23, 'trace_an': 0}
  • id: 29576088
    {'hecke_orbit_code': 9007268007772768, 'n': 24, 'trace_an': 0}
  • id: 29576089
    {'hecke_orbit_code': 9007268007772768, 'n': 25, 'trace_an': -44}
  • id: 29576090
    {'hecke_orbit_code': 9007268007772768, 'n': 26, 'trace_an': 0}
  • id: 29576091
    {'hecke_orbit_code': 9007268007772768, 'n': 27, 'trace_an': 0}
  • id: 29576092
    {'hecke_orbit_code': 9007268007772768, 'n': 28, 'trace_an': 0}
  • id: 29576093
    {'hecke_orbit_code': 9007268007772768, 'n': 29, 'trace_an': 0}
  • id: 29576094
    {'hecke_orbit_code': 9007268007772768, 'n': 30, 'trace_an': 0}
  • id: 29576095
    {'hecke_orbit_code': 9007268007772768, 'n': 31, 'trace_an': 0}
  • id: 29576096
    {'hecke_orbit_code': 9007268007772768, 'n': 32, 'trace_an': 0}
  • id: 29576097
    {'hecke_orbit_code': 9007268007772768, 'n': 33, 'trace_an': 0}
  • id: 29576098
    {'hecke_orbit_code': 9007268007772768, 'n': 34, 'trace_an': 0}
  • id: 29576099
    {'hecke_orbit_code': 9007268007772768, 'n': 35, 'trace_an': -40}
  • id: 29576100
    {'hecke_orbit_code': 9007268007772768, 'n': 36, 'trace_an': 0}
  • id: 29576101
    {'hecke_orbit_code': 9007268007772768, 'n': 37, 'trace_an': 0}
  • id: 29576102
    {'hecke_orbit_code': 9007268007772768, 'n': 38, 'trace_an': 0}
  • id: 29576103
    {'hecke_orbit_code': 9007268007772768, 'n': 39, 'trace_an': 0}
  • id: 29576104
    {'hecke_orbit_code': 9007268007772768, 'n': 40, 'trace_an': 0}
  • id: 29576105
    {'hecke_orbit_code': 9007268007772768, 'n': 41, 'trace_an': 0}
  • id: 29576106
    {'hecke_orbit_code': 9007268007772768, 'n': 42, 'trace_an': 0}
  • id: 29576107
    {'hecke_orbit_code': 9007268007772768, 'n': 43, 'trace_an': 24}
  • id: 29576108
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  • id: 29576109
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  • id: 29576110
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  • id: 29576111
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  • id: 29576112
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  • id: 29576113
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  • id: 29576114
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  • id: 29576115
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  • id: 29576116
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  • id: 29576117
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  • id: 29576118
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  • id: 29576119
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  • id: 29576120
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  • id: 29576121
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  • id: 29576122
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  • id: 29576123
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  • id: 29576124
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  • id: 29576125
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  • id: 29576126
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  • id: 29576127
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  • id: 29576128
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  • id: 29576129
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  • id: 29576130
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  • id: 29576131
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  • id: 29576132
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  • id: 29576133
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  • id: 29576134
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  • id: 29576135
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  • id: 29576136
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  • id: 29576137
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  • id: 29576138
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  • id: 29576139
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  • id: 29576140
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  • id: 29576141
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  • id: 29576142
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  • id: 29576143
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  • id: 29576144
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  • id: 29576145
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  • id: 29576146
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  • id: 29576147
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  • id: 29576150
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  • id: 29576152
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  • id: 29576153
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  • id: 29576154
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  • id: 29576156
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  • id: 29576158
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  • id: 29576159
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  • id: 29576160
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  • id: 29576161
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  • id: 29576162
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  • id: 29576163
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  • id: 29576164
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  • id: 29576169
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  • id: 29576170
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  • id: 29576171
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  • id: 29576172
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  • id: 29576173
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  • id: 29576175
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  • id: 29576176
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  • id: 29576177
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  • id: 29576178
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  • id: 29576179
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  • id: 29576180
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  • id: 29576181
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  • id: 29576182
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  • id: 29576183
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  • id: 29576184
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  • id: 29576185
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  • id: 29576186
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  • id: 29576187
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  • id: 29576188
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  • id: 29576189
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  • id: 29576190
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  • id: 29576191
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  • id: 29576192
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  • id: 29576193
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  • id: 29576194
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  • id: 29576195
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  • id: 29576196
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  • id: 29576197
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  • id: 29576198
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  • id: 29576199
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  • id: 29576200
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  • id: 29576201
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  • id: 29576202
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  • id: 29576203
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  • id: 29576204
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  • id: 29576205
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  • id: 29576206
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  • id: 29576207
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  • id: 29576208
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  • id: 29576209
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  • id: 29576210
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  • id: 29576211
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  • id: 29576212
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  • id: 29576213
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  • id: 29576214
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  • id: 29576215
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  • id: 29576216
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  • id: 29576217
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  • id: 29576218
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  • id: 29576219
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  • id: 29576220
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  • id: 29576221
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  • id: 29576222
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  • id: 29576223
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  • id: 29576224
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  • id: 29576225
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  • id: 29576226
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  • id: 29576227
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  • id: 29576228
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  • id: 29576229
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  • id: 29576230
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  • id: 29576231
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  • id: 29576232
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  • id: 29576233
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  • id: 29576234
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  • id: 29576235
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  • id: 29576236
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  • id: 29576237
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  • id: 29576238
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  • id: 29576239
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  • id: 29576240
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  • id: 29576241
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  • id: 29576242
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  • id: 29576243
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  • id: 29576244
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  • id: 29576245
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  • id: 29576246
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  • id: 29576247
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  • id: 29576248
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  • id: 29576249
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  • id: 29576250
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  • id: 29576251
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  • id: 29576252
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  • id: 29576253
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  • id: 29576254
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  • id: 29576255
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  • id: 29576256
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  • id: 29576257
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  • id: 29576258
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  • id: 29576259
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  • id: 29576260
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  • id: 29576261
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  • id: 29576262
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  • id: 29576263
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  • id: 29576264
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  • id: 29576265
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  • id: 29576266
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  • id: 29576267
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  • id: 29576268
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  • id: 29576269
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    {'hecke_orbit_code': 9007268007772768, 'n': 911, 'trace_an': 0}
  • id: 29576310
    {'hecke_orbit_code': 9007268007772768, 'n': 919, 'trace_an': 0}
  • id: 29576311
    {'hecke_orbit_code': 9007268007772768, 'n': 929, 'trace_an': 44}
  • id: 29576312
    {'hecke_orbit_code': 9007268007772768, 'n': 937, 'trace_an': 124}
  • id: 29576313
    {'hecke_orbit_code': 9007268007772768, 'n': 941, 'trace_an': 0}
  • id: 29576314
    {'hecke_orbit_code': 9007268007772768, 'n': 947, 'trace_an': -216}
  • id: 29576315
    {'hecke_orbit_code': 9007268007772768, 'n': 953, 'trace_an': 0}
  • id: 29576316
    {'hecke_orbit_code': 9007268007772768, 'n': 961, 'trace_an': -196}
  • id: 29576317
    {'hecke_orbit_code': 9007268007772768, 'n': 967, 'trace_an': 0}
  • id: 29576318
    {'hecke_orbit_code': 9007268007772768, 'n': 971, 'trace_an': 0}
  • id: 29576319
    {'hecke_orbit_code': 9007268007772768, 'n': 977, 'trace_an': 0}
  • id: 29576320
    {'hecke_orbit_code': 9007268007772768, 'n': 983, 'trace_an': 0}
  • id: 29576321
    {'hecke_orbit_code': 9007268007772768, 'n': 991, 'trace_an': 0}
  • id: 29576322
    {'hecke_orbit_code': 9007268007772768, 'n': 997, 'trace_an': 0}