Embedded newform data - 1200.3.bg.j.1057.1

Formats: - HTML - YAML - JSON - 2025-05-15T22:07:08.481473

• 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': 10800, 'analytic_conductor': 32.69763172323563, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 33, 'char_orbit_label': 'bg', 'char_order': 4, 'char_parity': -1, 'char_values': [1200, 4, [751, 901, 401, 577], [4, 4, 4, 3]], 'cm_discs': [], 'conrey_index': 193, 'dim': 4, 'field_disc': 2304, 'field_disc_factorization': [[2, 8], [3, 2]], 'field_poly': [9, 0, 0, 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': [[7, [11664, 0, 0, 0, 1]]], 'hecke_orbit': 10, 'hecke_orbit_code': 40534595719922864, 'hecke_ring_generator_nbound': 19, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 2, 5, 3, -1, 4, 0], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1200.3.bg.j', 'level': 1200, '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, 3, 5], 'level_radical': 30, 'minimal_twist': '75.3.f.a', 'nf_label': '4.0.2304.2', 'prim_orbit_index': 3, 'qexp_display': 'q-\\beta _{3}q^{3}+6\\beta _{1}q^{7}-3\\beta _{2}q^{9}+18q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '2.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1200.3.bg', 'trace_display': [0, 0, 0, 0], 'trace_hash': 743638735555691216, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.793', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '121.596', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4972.152', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.754', 'prec': 17}, 'traces': [4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 812, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, -392, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1008, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 0, 0, -488, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1296, 0, 0, 0, 0, 0, 0, 0, 0, 0, -712, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1912, 0, 0, 0, 0, 0, 0, 0, 0, 0, 648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1008, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1728, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1008, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1672, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1584, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1044, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, -768, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2232, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 568, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 708, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1296, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1368, 0, 0, 0, 0, 0, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1080, 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, 0, 0, 864, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1248, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3032, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 576, 0, 0, 0, 0, 0, 0, 0, 0, 0, -968, 0, 0, 0, 0, 0, 0, 0, 0, 0, 648, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1584, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2488, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, -528, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2728, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1872, 0, 0, 0, 0, 0, 0, 0, 0, 0, -840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1352, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5112, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2832, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2592, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 872, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1728, 0, 0, 0, 0, 0, 0, 0, 0, 0, -792, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3364, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1152, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4248, 0, 0, 0, 0, 0, 0, 0, 0, 0, -648, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3168, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3888, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2688, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1908, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5112, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2040, 0, 0, 0, 0, 0, 0, 0, 0, 0, 472, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7776, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1872, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3832, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6048, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2008, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 864, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6912, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7272, 0, 0, 0, 0, 0, 0, 0, 0, 0, -648, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7776, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6912, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1008, 0, 0, 0, 0, 0, 0, 0, 0, 0, -864, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1832, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6192, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2952, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8352, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1296, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1728, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2040, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6048, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1584, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6768, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1920, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5904, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4968, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1872, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2592, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1296, 0, 0, 0, 0, 0, 0, 0, 0, 0, -648, 0, 0, 0, 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0, 0, 0, 0, 0, 0, 5712, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20736, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3848, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9992, 0, 0, 0, 0, 0, 0, 0, 0, 0, -15552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5808, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7632, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2160, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7488, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 912, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14688, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7056, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 3, '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], [-0.408248290463863, 0.408248290463863], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0497813183356477, -1.0497813183356477], [0.0, 0.0], [0.0, -0.3333333333333333], [0.0, 0.0], [1.6363636363636365, 0.0], [0.0, 0.0], [-0.565266863719195, 0.565266863719195], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.2881752638568445, -0.2881752638568445], [0.0, 0.0], [0.0, 0.5263157894736842], [0.0, 0.0], [0.8571428571428571, 0.0], [0.0, 0.0], [0.8519964322724097, -0.8519964322724097], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.13608276348795434, 0.13608276348795434], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.7096774193548387, 0.0], [0.0, 0.0], [-0.668042657122685, 0.668042657122685], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.1986072764418793, 0.1986072764418793], [0.0, 0.0], [0.0, -0.46153846153846156], [0.0, 0.0], [-0.43902439024390244, 0.0], [0.0, 0.0], [-0.6835785328697241, 0.6835785328697241], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9381024546829193, 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-0.11859922212907735, -0.1726219629576624, -0.3745027091468538, -0.21545034317228165, 0.09349246774641849, -0.474691669111729, -0.1994893419341558, -0.4235594531073625, -0.46622106259948765, -0.18221742137472663, -0.4257740720220858, -0.4524664794310761, -0.1810371948592776, -0.16616815655994488, -0.29420582865029765, 0.14876572643385644, 0.009630434319018935, -0.3791748702896285, -0.08731775628128056, -0.3711812029584515, -0.20697161757806487, -0.24920905555829917, -0.38589596986620806, -0.1305245321949004, -0.10675156230447208, -0.32347982426699223, -0.16804640710138558, -0.1648434616132496, -0.2897375235033262, -0.2205115795647941, -0.3563335001637083, 0.07475536940841854, -0.16806490413408606, -0.10441599728427006, -0.4592941809924205, -0.2343974521231582, -0.3582839549521497, 0.12178131168481433, -0.2500815760892161, -0.4028054809015802, 0.010865394787473023, 0.008223070194498383, -0.4238998211731333, -0.1831578674855812, -0.47400901266437406], 'char_orbit_index': 33, 'conrey_index': 1057, 'dual_conrey_index': 193, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 3, 'embedding_root_imag': -1.224744871391589, 'embedding_root_real': -1.224744871391589, 'hecke_orbit': 10, 'hecke_orbit_code': 40534595719922864, 'label': '1200.3.bg.j.1057.1', 'level': 1200, 'weight': 3}
• mf_newspaces •

  Column	Type
  ALdims	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': 10800, 'analytic_conductor': 32.69763172323563, 'char_conductor': 5, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 33, 'char_orbit_label': 'bg', 'char_order': 4, 'char_parity': -1, 'char_values': [1200, 4, [751, 901, 401, 577], [4, 4, 4, 3]], 'conrey_index': 193, 'cusp_dim': 888, 'dim': 72, 'eis_dim': 144, 'eis_new_dim': 0, 'hecke_cutter_primes': [7], 'hecke_orbit_code': 2199073588400, 'hecke_orbit_dims': [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 8], 'label': '1200.3.bg', 'level': 1200, '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, 3, 5], 'level_radical': 30, 'mf_dim': 1032, 'mf_new_dim': 72, 'num_forms': 17, 'prim_orbit_index': 3, 'relative_dim': 36, 'sturm_bound': 720, 'trace_bound': 21, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 8, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -128, 0, -48, 0, 0, 0, -8, 0, 0, 0, 64, 0, 64, 0, 0, 0, 192, 0, 0, 0, 192, 0, 56, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -480, 0, 0, 0, -512, 0, 232, 0, 0, 0, 0, 0, 0, 0, -648, 0, 544, 0, 0, 0, 288, 0, 0, 0, 576, 0, -96, 0, 0, 0, -56, 0, 0, 0, -80, 0, -256, 0, 0, 0, -384, 0, 0, 0, 288, 0, -280, 0, 0, 0, 72, 0, 0, 0, 280, 0, 0, 0, 0, 0, 832, 0, 0, 0, 768, 0, 512, 0, 0, 0, 24, 0, 0, 0, 576, 0, -928, 0, 0, 0, -384, 0, 0, 0, -1280, 0, 24, 0, 0, 0, -24, 0, 0, 0, 640, 0, -416, 0, 0, 0, 448, 0, 0, 0, 192, 0, -776, 0, 0, 0, -144, 0, 0, 0, 16, 0, 384, 0, 0, 0, -864, 0, 0, 0, 384, 0, -456, 0, 0, 0, -72, 0, 0, 0, -576, 0, 1440, 0, 0, 0, 288, 0, 0, 0, -256, 0, 0, 0, 0, 0, 736, 0, 0, 0, -1136, 0, 128, 0, 0, 0, 96, 0, 0, 0, -1152, 0, 968, 0, 0, 0, -576, 0, 0, 0, 1152, 0, 0, 0, 0, 0, 576, 0, 0, 0, -1024, 0, -704, 0, 0, 0, -600, 0, 0, 0, 0, 0, -1536, 0, 0, 0, -576, 0, 0, 0, -2080, 0, -192, 0, 0, 0, 1288, 0, 0, 0, -576, 0, -864, 0, 0, 0, -1408, 0, 0, 0, 1152, 0, 2056, 0, 0, 0, 144, 0, 0, 0, 2304, 0, 960, 0, 0, 0, 224, 0, 0, 0, 3712, 0, 1112, 0, 0, 0, -632, 0, 0, 0, 1152, 0, 1856, 0, 0, 0, 576, 0, 0, 0, 1856, 0, -24, 0, 0, 0, -1080, 0, 0, 0, -2688, 0, 1920, 0, 0, 0, 2528, 0, 0, 0, 0, 0, -2184, 0, 0, 0, 576, 0, 0, 0, -3864, 0, -1728, 0, 0, 0, -704, 0, 0, 0, -192, 0, 600, 0, 0, 0, 864, 0, 0, 0, 0, 0, -1568, 0, 0, 0, -192, 0, 0, 0, 1408, 0, 240, 0, 0, 0, -1992, 0, 0, 0, 272, 0, -2336, 0, 0, 0, -2912, 0, 0, 0, -768, 0, -2880, 0, 0, 0, -288, 0, 0, 0, 192, 0, 576, 0, 0, 0, 192, 0, 0, 0, -128, 0, -1816, 0, 0, 0, 1664, 0, 0, 0, 936, 0, 1632, 0, 0, 0, 864, 0, 0, 0, -3072, 0, 384, 0, 0, 0, 1304, 0, 0, 0, 2928, 0, 3392, 0, 0, 0, 3616, 0, 0, 0, -1152, 0, 3008, 0, 0, 0, -168, 0, 0, 0, 48, 0, -3168, 0, 0, 0, -640, 0, 0, 0, -8576, 0, -1312, 0, 0, 0, 0, 0, 0, 0, -2496, 0, -3264, 0, 0, 0, -768, 0, 0, 0, 5440, 0, 0, 0, 0, 0, -448, 0, 0, 0, 2224, 0, -2944, 0, 0, 0, -3936, 0, 0, 0, 768, 0, 2176, 0, 0, 0, 912, 0, 0, 0, -336, 0, 3264, 0, 0, 0, 640, 0, 0, 0, 7680, 0, 1952, 0, 0, 0, 312, 0, 0, 0, 1920, 0, 3424, 0, 0, 0, 0, 0, 0, 0, 5248, 0, -192, 0, 0, 0, -3432, 0, 0, 0, 5120, 0, 4800, 0, 0, 0, 4480, 0, 0, 0, -1920, 0, -2408, 0, 0, 0, 2208, 0, 0, 0, -928, 0, -1440, 0, 0, 0, 768, 0, 0, 0, -9088, 0, 2184, 0, 0, 0, 8, 0, 0, 0, 576, 0, -5696, 0, 0, 0, -2208, 0, 0, 0, -6016, 0, 384, 0, 0, 0, -1192, 0, 0, 0, -1344, 0, -1312, 0, 0, 0, -6784, 0, 0, 0, 768, 0, -712, 0, 0, 0, -696, 0, 0, 0, -8256, 0, 4320, 0, 0, 0, -224, 0, 0, 0, -3136, 0, -2552, 0, 0, 0, -3144, 0, 0, 0, -1248, 0, 5664, 0, 0, 0, 2688, 0, 0, 0, 2688, 0, 0, 0, 0, 0, 3072, 0, 0, 0, 576, 0, 3072, 0, 0, 0, 5536, 0, 0, 0, -480, 0, 2112, 0, 0, 0, -2784, 0, 0, 0, 2592, 0, -4608, 0, 0, 0, 3648, 0, 0, 0, 6272, 0, -3272, 0, 0, 0, 1088, 0, 0, 0, -1152, 0, -7008, 0, 0, 0, -1632, 0, 0, 0, 4832, 0, 144, 0, 0, 0, 6024, 0, 0, 0, -4912, 0, -3840, 0, 0, 0, -3488, 0, 0, 0, 6336, 0, 3592, 0, 0, 0, 1536, 0, 0, 0, -64, 0, 864, 0, 0, 0, -4672, 0, 0, 0, 9472, 0, 0, 0, 0, 0, 968, 0, 0, 0, 1344, 0, 7296, 0, 0, 0, 3168, 0, 0, 0, -4224, 0, 576, 0, 0, 0, -3008, 0, 0, 0, 2368, 0, 256, 0, 0, 0, 2496, 0, 0, 0, -5760, 0, -1464, 0, 0, 0, 288, 0, 0, 0, -216, 0, -5472, 0, 0, 0, 2880, 0, 0, 0, -11712, 0, -1016, 0, 0, 0, -3272, 0, 0, 0, 2688, 0, -8128, 0, 0, 0, -3648, 0, 0, 0, -10144, 0, -168, 0, 0, 0, -2904, 0, 0, 0, -3392, 0, -3552, 0, 0, 0, -1536, 0, 0, 0, 0, 0, -5888, 0, 0, 0, -2208, 0, 0, 0, 688, 0, 5760, 0, 0, 0, -3872, 0, 0, 0, 4480, 0, -352, 0, 0, 0, 3008, 0, 0, 0, -2496, 0, 12608, 0, 0, 0, 768, 0, 0, 0, 15552, 0, 576, 0, 0, 0, 4728, 0, 0, 0, 272, 0, 2304, 0, 0, 0, 1280, 0, 0, 0, 768, 0, 2344, 0, 0, 0, -2016, 0, 0, 0, 11864, 0, -1152, 0, 0, 0, 7424, 0, 0, 0, 8768, 0, 2368, 0, 0, 0, 3576, 0, 0, 0, -624, 0, -10400, 0, 0, 0, -4704, 0, 0, 0, -1408, 0, 1440, 0, 0, 0, -3800, 0, 0, 0], 'weight': 3, '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: 47030758
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1057, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40534595719922864, 'source_is_minimal': False, 'source_label': '1200.3.bg.j.1057.1', 'source_level': 1200, 'target_conrey_index': 1057, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40534595719922864, 'target_is_minimal': False, 'target_label': '1200.3.bg.j.1057.1', 'target_level': 1200, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 47030759
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1057, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40534595719922864, 'source_is_minimal': False, 'source_label': '1200.3.bg.j.1057.1', 'source_level': 1200, 'target_conrey_index': 7, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 343647715403, 'target_is_minimal': True, 'target_label': '75.3.f.a.7.2', 'target_level': 75, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 47030760
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1057, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40534595719922864, 'source_is_minimal': False, 'source_label': '1200.3.bg.j.1057.1', 'source_level': 1200, 'target_conrey_index': 193, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40534595719922864, 'target_is_minimal': False, 'target_label': '1200.3.bg.j.193.2', 'target_level': 1200, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 47030761
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1057, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40534595719922864, 'source_is_minimal': False, 'source_label': '1200.3.bg.j.1057.1', 'source_level': 1200, 'target_conrey_index': 193, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40534595719922864, 'target_is_minimal': False, 'target_label': '1200.3.bg.j.193.1', 'target_level': 1200, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 47030762
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1057, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40534595719922864, 'source_is_minimal': False, 'source_label': '1200.3.bg.j.1057.1', 'source_level': 1200, 'target_conrey_index': 1057, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40534595719922864, 'target_is_minimal': False, 'target_label': '1200.3.bg.j.1057.2', 'target_level': 1200, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 3}
  • id: 47030763
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1057, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40534595719922864, 'source_is_minimal': False, 'source_label': '1200.3.bg.j.1057.1', 'source_level': 1200, 'target_conrey_index': 82, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518410504044769, 'target_is_minimal': False, 'target_label': '225.3.g.f.82.1', 'target_level': 225, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 3}
  • id: 47030764
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1057, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40534595719922864, 'source_is_minimal': False, 'source_label': '1200.3.bg.j.1057.1', 'source_level': 1200, 'target_conrey_index': 43, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 343647715403, 'target_is_minimal': True, 'target_label': '75.3.f.a.43.2', 'target_level': 75, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 47030765
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1057, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40534595719922864, 'source_is_minimal': False, 'source_label': '1200.3.bg.j.1057.1', 'source_level': 1200, 'target_conrey_index': 43, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 343647715403, 'target_is_minimal': True, 'target_label': '75.3.f.a.43.1', 'target_level': 75, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 3}
  • id: 47030766
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1057, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40534595719922864, 'source_is_minimal': False, 'source_label': '1200.3.bg.j.1057.1', 'source_level': 1200, 'target_conrey_index': 7, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 343647715403, 'target_is_minimal': True, 'target_label': '75.3.f.a.7.1', 'target_level': 75, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 3}
  • id: 47030767
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1057, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40534595719922864, 'source_is_minimal': False, 'source_label': '1200.3.bg.j.1057.1', 'source_level': 1200, 'target_conrey_index': 118, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518410504044769, 'target_is_minimal': False, 'target_label': '225.3.g.f.118.1', 'target_level': 225, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '60.23', 'twisting_conrey_index': 23, 'weight': 3}
  • id: 47030768
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1057, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40534595719922864, 'source_is_minimal': False, 'source_label': '1200.3.bg.j.1057.1', 'source_level': 1200, 'target_conrey_index': 118, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22518410504044769, 'target_is_minimal': False, 'target_label': '225.3.g.f.118.2', 'target_level': 225, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '60.47', 'twisting_conrey_index': 47, 'weight': 3}
  • id: 47030769
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1057, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40534595719922864, 'source_is_minimal': False, 'source_label': '1200.3.bg.j.1057.1', 'source_level': 1200, 'target_conrey_index': 82, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22518410504044769, 'target_is_minimal': False, 'target_label': '225.3.g.f.82.2', 'target_level': 225, 'twist_class_label': '75.3.f.a.7.1', 'twist_class_level': 75, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 3}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1764000
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 40534595719922864, 'p': 2}
  • id: 1764001
    {'charpoly_factorization': [[[9, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 40534595719922864, 'p': 3}
  • id: 1764002
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 40534595719922864, 'p': 5}
  • id: 1764003
    {'charpoly_factorization': [[[11664, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 40534595719922864, 'p': 7}
  • id: 1764004
    {'charpoly_factorization': [[[-18, 1], 4]], 'hecke_orbit_code': 40534595719922864, 'p': 11}
  • id: 1764005
    {'charpoly_factorization': [[[11664, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 40534595719922864, 'p': 13}
  • id: 1764006
    {'charpoly_factorization': [[[2304, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 40534595719922864, 'p': 17}
  • id: 1764007
    {'charpoly_factorization': [[[100, 0, 1], 2]], 'hecke_orbit_code': 40534595719922864, 'p': 19}
  • id: 1764008
    {'charpoly_factorization': [[[589824, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 40534595719922864, 'p': 23}
  • id: 1764009
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 40534595719922864, 'p': 29}
  • id: 1764010
    {'charpoly_factorization': [[[22, 1], 4]], 'hecke_orbit_code': 40534595719922864, 'p': 31}
  • id: 1764011
    {'charpoly_factorization': [[[11664, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 40534595719922864, 'p': 37}
  • id: 1764012
    {'charpoly_factorization': [[[18, 1], 4]], 'hecke_orbit_code': 40534595719922864, 'p': 41}
  • id: 1764013
    {'charpoly_factorization': [[[2985984, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 40534595719922864, 'p': 43}
  • id: 1764014
    {'charpoly_factorization': [[[15116544, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 40534595719922864, 'p': 47}
  • id: 1764015
    {'charpoly_factorization': [[[2304, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 40534595719922864, 'p': 53}
  • id: 1764016
    {'charpoly_factorization': [[[8100, 0, 1], 2]], 'hecke_orbit_code': 40534595719922864, 'p': 59}
  • id: 1764017
    {'charpoly_factorization': [[[-2, 1], 4]], 'hecke_orbit_code': 40534595719922864, 'p': 61}
  • id: 1764018
    {'charpoly_factorization': [[[15116544, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 40534595719922864, 'p': 67}
  • id: 1764019
    {'charpoly_factorization': [[[72, 1], 4]], 'hecke_orbit_code': 40534595719922864, 'p': 71}
  • id: 1764020
    {'charpoly_factorization': [[[15116544, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 40534595719922864, 'p': 73}
  • id: 1764021
    {'charpoly_factorization': [[[4900, 0, 1], 2]], 'hecke_orbit_code': 40534595719922864, 'p': 79}
  • id: 1764022
    {'charpoly_factorization': [[[33732864, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 40534595719922864, 'p': 83}
  • id: 1764023
    {'charpoly_factorization': [[[8100, 0, 1], 2]], 'hecke_orbit_code': 40534595719922864, 'p': 89}
  • id: 1764024
    {'charpoly_factorization': [[[448084224, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 40534595719922864, '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': 33, 'hecke_orbit': 10, 'label': '1200.3.bg.j', 'level': 1200, 'portrait': 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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 54074455
    {'hecke_orbit_code': 40534595719922864, 'n': 1, 'trace_an': 4}
  • id: 54074456
    {'hecke_orbit_code': 40534595719922864, 'n': 2, 'trace_an': 0}
  • id: 54074457
    {'hecke_orbit_code': 40534595719922864, 'n': 3, 'trace_an': 0}
  • id: 54074458
    {'hecke_orbit_code': 40534595719922864, 'n': 4, 'trace_an': 0}
  • id: 54074459
    {'hecke_orbit_code': 40534595719922864, 'n': 5, 'trace_an': 0}
  • id: 54074460
    {'hecke_orbit_code': 40534595719922864, 'n': 6, 'trace_an': 0}
  • id: 54074461
    {'hecke_orbit_code': 40534595719922864, 'n': 7, 'trace_an': 0}
  • id: 54074462
    {'hecke_orbit_code': 40534595719922864, 'n': 8, 'trace_an': 0}
  • id: 54074463
    {'hecke_orbit_code': 40534595719922864, 'n': 9, 'trace_an': 0}
  • id: 54074464
    {'hecke_orbit_code': 40534595719922864, 'n': 10, 'trace_an': 0}
  • id: 54074465
    {'hecke_orbit_code': 40534595719922864, 'n': 11, 'trace_an': 72}
  • id: 54074466
    {'hecke_orbit_code': 40534595719922864, 'n': 12, 'trace_an': 0}
  • id: 54074467
    {'hecke_orbit_code': 40534595719922864, 'n': 13, 'trace_an': 0}
  • id: 54074468
    {'hecke_orbit_code': 40534595719922864, 'n': 14, 'trace_an': 0}
  • id: 54074469
    {'hecke_orbit_code': 40534595719922864, 'n': 15, 'trace_an': 0}
  • id: 54074470
    {'hecke_orbit_code': 40534595719922864, 'n': 16, 'trace_an': 0}
  • id: 54074471
    {'hecke_orbit_code': 40534595719922864, 'n': 17, 'trace_an': 0}
  • id: 54074472
    {'hecke_orbit_code': 40534595719922864, 'n': 18, 'trace_an': 0}
  • id: 54074473
    {'hecke_orbit_code': 40534595719922864, 'n': 19, 'trace_an': 0}
  • id: 54074474
    {'hecke_orbit_code': 40534595719922864, 'n': 20, 'trace_an': 0}
  • id: 54074475
    {'hecke_orbit_code': 40534595719922864, 'n': 21, 'trace_an': 72}
  • id: 54074476
    {'hecke_orbit_code': 40534595719922864, 'n': 22, 'trace_an': 0}
  • id: 54074477
    {'hecke_orbit_code': 40534595719922864, 'n': 23, 'trace_an': 0}
  • id: 54074478
    {'hecke_orbit_code': 40534595719922864, 'n': 24, 'trace_an': 0}
  • id: 54074479
    {'hecke_orbit_code': 40534595719922864, 'n': 25, 'trace_an': 0}
  • id: 54074480
    {'hecke_orbit_code': 40534595719922864, 'n': 26, 'trace_an': 0}
  • id: 54074481
    {'hecke_orbit_code': 40534595719922864, 'n': 27, 'trace_an': 0}
  • id: 54074482
    {'hecke_orbit_code': 40534595719922864, 'n': 28, 'trace_an': 0}
  • id: 54074483
    {'hecke_orbit_code': 40534595719922864, 'n': 29, 'trace_an': 0}
  • id: 54074484
    {'hecke_orbit_code': 40534595719922864, 'n': 30, 'trace_an': 0}
  • id: 54074485
    {'hecke_orbit_code': 40534595719922864, 'n': 31, 'trace_an': -88}
  • id: 54074486
    {'hecke_orbit_code': 40534595719922864, 'n': 32, 'trace_an': 0}
  • id: 54074487
    {'hecke_orbit_code': 40534595719922864, 'n': 33, 'trace_an': 0}
  • id: 54074488
    {'hecke_orbit_code': 40534595719922864, 'n': 34, 'trace_an': 0}
  • id: 54074489
    {'hecke_orbit_code': 40534595719922864, 'n': 35, 'trace_an': 0}
  • id: 54074490
    {'hecke_orbit_code': 40534595719922864, 'n': 36, 'trace_an': 0}
  • id: 54074491
    {'hecke_orbit_code': 40534595719922864, 'n': 37, 'trace_an': 0}
  • id: 54074492
    {'hecke_orbit_code': 40534595719922864, 'n': 38, 'trace_an': 0}
  • id: 54074493
    {'hecke_orbit_code': 40534595719922864, 'n': 39, 'trace_an': 0}
  • id: 54074494
    {'hecke_orbit_code': 40534595719922864, 'n': 40, 'trace_an': 0}
  • id: 54074495
    {'hecke_orbit_code': 40534595719922864, 'n': 41, 'trace_an': -72}
  • id: 54074496
    {'hecke_orbit_code': 40534595719922864, 'n': 42, 'trace_an': 0}
  • id: 54074497
    {'hecke_orbit_code': 40534595719922864, 'n': 43, 'trace_an': 0}
  • id: 54074498
    {'hecke_orbit_code': 40534595719922864, 'n': 44, 'trace_an': 0}
  • id: 54074499
    {'hecke_orbit_code': 40534595719922864, 'n': 45, 'trace_an': 0}
  • id: 54074500
    {'hecke_orbit_code': 40534595719922864, 'n': 46, 'trace_an': 0}
  • id: 54074501
    {'hecke_orbit_code': 40534595719922864, 'n': 47, 'trace_an': 0}
  • id: 54074502
    {'hecke_orbit_code': 40534595719922864, 'n': 48, 'trace_an': 0}
  • id: 54074503
    {'hecke_orbit_code': 40534595719922864, 'n': 49, 'trace_an': 0}
  • id: 54074504
    {'hecke_orbit_code': 40534595719922864, 'n': 50, 'trace_an': 0}
  • id: 54074505
    {'hecke_orbit_code': 40534595719922864, 'n': 51, 'trace_an': 48}
  • id: 54074506
    {'hecke_orbit_code': 40534595719922864, 'n': 52, 'trace_an': 0}
  • id: 54074507
    {'hecke_orbit_code': 40534595719922864, 'n': 53, 'trace_an': 0}
  • id: 54074508
    {'hecke_orbit_code': 40534595719922864, 'n': 54, 'trace_an': 0}
  • id: 54074509
    {'hecke_orbit_code': 40534595719922864, 'n': 55, 'trace_an': 0}
  • id: 54074510
    {'hecke_orbit_code': 40534595719922864, 'n': 56, 'trace_an': 0}
  • id: 54074511
    {'hecke_orbit_code': 40534595719922864, 'n': 57, 'trace_an': 0}
  • id: 54074512
    {'hecke_orbit_code': 40534595719922864, 'n': 58, 'trace_an': 0}
  • id: 54074513
    {'hecke_orbit_code': 40534595719922864, 'n': 59, 'trace_an': 0}
  • id: 54074514
    {'hecke_orbit_code': 40534595719922864, 'n': 60, 'trace_an': 0}
  • id: 54074515
    {'hecke_orbit_code': 40534595719922864, 'n': 61, 'trace_an': 8}
  • id: 54074516
    {'hecke_orbit_code': 40534595719922864, 'n': 62, 'trace_an': 0}
  • id: 54074517
    {'hecke_orbit_code': 40534595719922864, 'n': 63, 'trace_an': 0}
  • id: 54074518
    {'hecke_orbit_code': 40534595719922864, 'n': 64, 'trace_an': 0}
  • id: 54074519
    {'hecke_orbit_code': 40534595719922864, 'n': 65, 'trace_an': 0}
  • id: 54074520
    {'hecke_orbit_code': 40534595719922864, 'n': 66, 'trace_an': 0}
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  • id: 54074564
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  • id: 54074576
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  • id: 54074588
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  • id: 54074589
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  • id: 54074595
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  • id: 54074596
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  • id: 54074597
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  • id: 54074598
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  • id: 54074602
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  • id: 54074610
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  • id: 54074611
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  • id: 54074612
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  • id: 54074613
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  • id: 54074614
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  • id: 54074615
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  • id: 54074616
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  • id: 54074617
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  • id: 54074618
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  • id: 54074619
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  • id: 54074620
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  • id: 54074621
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  • id: 54074622
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  • id: 54074623
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  • id: 54074624
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  • id: 54074625
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  • id: 54074626
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  • id: 54074627
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  • id: 54074628
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  • id: 54074629
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  • id: 54074630
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  • id: 54074631
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  • id: 54074632
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  • id: 54074633
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  • id: 54074634
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  • id: 54074635
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  • id: 54074636
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  • id: 54074637
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  • id: 54074638
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  • id: 54074639
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  • id: 54074640
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  • id: 54074641
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  • id: 54074642
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  • id: 54074643
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  • id: 54074644
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  • id: 54074645
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  • id: 54074646
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  • id: 54074647
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  • id: 54074648
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  • id: 54074649
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  • id: 54074650
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  • id: 54074651
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  • id: 54074652
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  • id: 54074653
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  • id: 54074654
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  • id: 54074655
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  • id: 54074656
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  • id: 54074657
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  • id: 54074658
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  • id: 54074659
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  • id: 54074660
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  • id: 54074661
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  • id: 54074662
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  • id: 54074663
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  • id: 54074664
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  • id: 54074665
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  • id: 54074666
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  • id: 54074667
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  • id: 54074668
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  • id: 54074669
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  • id: 54074670
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  • id: 54074671
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  • id: 54074672
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  • id: 54074673
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  • id: 54074675
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  • id: 54074676
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  • id: 54074679
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  • id: 54074680
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  • id: 54074685
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  • id: 54074688
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