Newform data - 49.24.a.b

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• 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': 28224, 'analytic_conductor': 164.24997829910086, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[7, -1]], 'atkin_lehner_string': '-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [49, 1, [3], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 144169, 'field_disc_factorization': [[144169, 1]], 'field_poly': [-36042, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-20468736, -1080, 1]], [3, [-19020146544, 339480, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503600030023729, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 24, 'hecke_ring_index_factorization': [[2, 3], [3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '49.24.a.b', 'level': 49, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [7], 'level_radical': 7, 'minimal_twist': '1.24.a.a', 'nf_label': '2.2.144169.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(540-\\beta )q^{2}+(-169740-48\\beta )q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '23.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '49.24.a', 'trace_display': [1080, -339480, -73069020, 0], 'trace_hash': 1640704192896810242, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.977', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.517', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '64.023', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [2, 1080, -339480, 25326656, -73069020, 1809673056, 0, 49459023360, -34999394166, 585013636080, 856801968264, -2146514952960, -4376109322060, 0, 42377338985040, 15956586401792, -254028147597540, -695480683916520, -4260600979960, -250868387468160, 0, 2068343882177760, -8144713079008560, 1286622315141120, -11780274628800850, -55025854658735184, 5424634982716560, 0, 20818433601623340, -155926924188644160, -137714017177000384, 353265663781601280, -68361366766001760, 839483655961325328, 0, -1173916300077574848, -897721264408967780, -5699708971590961440, -1785011473665029232, 1226668524414336000, 2294435477168314956, 0, -1750760768619855800, 12584088840033038592, -8897092690294206540, -8813206018050221376, -15759744217656780960, 33749519399576616960, 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• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0], [540, -1], [-169740, -48], [12663328, -1080], [-36534510, -15040], [904836528, 143820], [0, 0], [24729511680, -4857920], [-17499697083, 16295040], [292506818040, 28412910], [428400984132, -38671600], [-1073257476480, -424520544], [-2188054661030, 1268350272], [0, 0], [21188669492520, 4306546080], [7978293200896, -18293091840], [-127014073798770, -23522231424], [-347740341958260, 26299018683], [-2130300489980, 137218594320], [-125434193734080, -150999182320], [0, 0], [1034171941088880, -449283648132], [-4072356539504280, 106334043808], [643311157570560, -362433219840], [-5890137314400425, 1098958060800], [-27512927329367592, 2872963807910], [2712317491358280, 2592937954080], [0, 0], [10409216800811670, -6804021206080], [-77963462094322080, -18863134609320], [-68857008588500192, -14814525283200], [176632831890800640, 22894623780864], [-34180683383000880, -13999129854336], [419741827980662664, 114312068829810], [0, 0], [-586958150038787424, 225249109142760], 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[-2894334467697909903017618611812647065800, 2004254692786106288019449041632248800]], 'char_orbit_index': 1, 'field_poly': [-36042, -1, 1], 'hecke_orbit_code': 4503600030023729, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1], 'hecke_ring_inverse_denominators': [1, 24], 'hecke_ring_inverse_numerators': [[1, 0], [12, 1]], 'hecke_ring_numerators': [[1, 0], [-12, 24]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '49.24.a.b', 'level': 49, 'maxp': 2999, 'weight': 24}
• 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

  
  {'ALdims': [38, 38], 'ALdims_eis_new': [2, 3], 'ALdims_eis_old': [2, 1], 'ALdims_old': [15, 13], 'Nk2': 28224, 'analytic_conductor': 164.24997829910086, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [49, 1, [3], [1]], 'conrey_index': 1, 'cusp_dim': 104, 'dim': 76, 'eis_dim': 8, 'eis_new_dim': 5, 'hecke_cutter_primes': [2, 3], 'hecke_orbit_code': 402653233, 'hecke_orbit_dims': [1, 2, 5, 6, 10, 14, 14, 24], 'label': '49.24.a', 'level': 49, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [7], 'level_radical': 7, 'mf_dim': 112, 'mf_new_dim': 81, 'num_forms': 8, 'plus_dim': 38, 'prim_orbit_index': 1, 'relative_dim': 76, 'sturm_bound': 112, 'trace_bound': 3, 'trace_display': [3016, -14812, -70357686, 0], 'traces': [76, 3016, -14812, 308876940, 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-315476456701228633301724279120102000, 73823009261395190696172672829915114, -171920997346191404332822629645112404, -233099366439669736798507404464384784, -29544769993745718267954399357363840], 'weight': 24, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 41462
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '49.24.a.b', 'source_level': 49, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1.24.a.a', 'target_level': 1, 'twist_class_label': '1.24.a.a', 'twist_class_level': 1, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 24}
  • id: 41463
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '49.24.a.b', 'source_level': 49, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '9.24.a.b', 'target_level': 9, 'twist_class_label': '1.24.a.a', 'twist_class_level': 1, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 24}
  • id: 41464
    {'conductor': 28, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '49.24.a.b', 'source_level': 49, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '16.24.a.b', 'target_level': 16, 'twist_class_label': '1.24.a.a', 'twist_class_level': 1, 'twisting_char_label': '28.d', 'twisting_char_orbit': 4, 'weight': 24}
  • id: 41465
    {'conductor': 35, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '49.24.a.b', 'source_level': 49, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '25.24.a.a', 'target_level': 25, 'twist_class_label': '1.24.a.a', 'twist_class_level': 1, 'twisting_char_label': '35.c', 'twisting_char_orbit': 3, 'weight': 24}
  • id: 41466
    {'conductor': 35, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '49.24.a.b', 'source_level': 49, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '25.24.b.a', 'target_level': 25, 'twist_class_label': '1.24.a.a', 'twist_class_level': 1, 'twisting_char_label': '35.f', 'twisting_char_orbit': 6, 'weight': 24}
  • id: 41467
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '49.24.a.b', 'source_level': 49, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '49.24.a.b', 'target_level': 49, 'twist_class_label': '1.24.a.a', 'twist_class_level': 1, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 24}
  • id: 41468
    {'conductor': 56, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '49.24.a.b', 'source_level': 49, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '64.24.a.d', 'target_level': 64, 'twist_class_label': '1.24.a.a', 'twist_class_level': 1, 'twisting_char_label': '56.h', 'twisting_char_orbit': 8, 'weight': 24}
  • id: 41469
    {'conductor': 56, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': False, 'source_label': '49.24.a.b', 'source_level': 49, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '64.24.a.g', 'target_level': 64, 'twist_class_label': '1.24.a.a', 'twist_class_level': 1, 'twisting_char_label': '56.e', 'twisting_char_orbit': 5, 'weight': 24}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 167625
    {'charpoly_factorization': [[[-20468736, -1080, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 2}
  • id: 167626
    {'charpoly_factorization': [[[-19020146544, 339480, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 3}
  • id: 167627
    {'charpoly_factorization': [[[-3361250798797500, 73069020, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 5}
  • id: 167628
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503600030023729, 'p': 7}
  • id: 167629
    {'charpoly_factorization': [[[152480473377151271633424, -856801968264, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 11}
  • id: 167630
    {'charpoly_factorization': [[[-28609827010851645818437724, 4376109322060, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 13}
  • id: 167631
    {'charpoly_factorization': [[[4645977130345617355832980164, 254028147597540, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 17}
  • id: 167632
    {'charpoly_factorization': [[[-390890637284318960442727766000, 4260600979960, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 19}
  • id: 167633
    {'charpoly_factorization': [[[16349352142320793124704986348096, 8144713079008560, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 23}
  • id: 167634
    {'charpoly_factorization': [[[-852741827545480891538082188521500, -20818433601623340, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 29}
  • id: 167635
    {'charpoly_factorization': [[[185013381333206480619537631396864, 137714017177000384, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 31}
  • id: 167636
    {'charpoly_factorization': [[[-422811213787781995025683747721355836, 897721264408967780, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 37}
  • id: 167637
    {'charpoly_factorization': [[[-5175989760250467987484363287358119516, -2294435477168314956, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 41}
  • id: 167638
    {'charpoly_factorization': [[[-430924970220552207758522075394804464, 1750760768619855800, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 43}
  • id: 167639
    {'charpoly_factorization': [[[-212082722765888031552039011400776967936, 15759744217656780960, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 47}
  • id: 167640
    {'charpoly_factorization': [[[4881689282828580850774903446073665105156, 140287253401646796420, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 53}
  • id: 167641
    {'charpoly_factorization': [[[-287141317524725751037029810398574438000, 280872989971340771880, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 59}
  • id: 167642
    {'charpoly_factorization': [[[-134413668840629596265010008968606860734876, -180452892516502223636, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 61}
  • id: 167643
    {'charpoly_factorization': [[[409680143490650218652123231451406645035664, -1754233163431557625240, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 67}
  • id: 167644
    {'charpoly_factorization': [[[1750877789068333226631930662727661614433344, -3055033510194143328624, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 71}
  • id: 167645
    {'charpoly_factorization': [[[15965868396225968204333434069799336092015396, -8063408253877606149260, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 73}
  • id: 167646
    {'charpoly_factorization': [[[-40838059069801232593874766669935539561568000, -6244916814559639980640, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 79}
  • id: 167647
    {'charpoly_factorization': [[[-112591047310494995468805854565351745122035184, 6875994082418498976120, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 83}
  • id: 167648
    {'charpoly_factorization': [[[8298778222734759129202752403913138041846500, 6395093086173070004820, 1], 1]], 'hecke_orbit_code': 4503600030023729, 'p': 89}
  • id: 167649
    {'charpoly_factorization': [[[-9386917752510939863135558524811583300529914236, -31147288846254030500540, 1], 1]], 'hecke_orbit_code': 4503600030023729, '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': 1, 'hecke_orbit': 2, 'label': '49.24.a.b', 'level': 49, 'portrait': 'data:image/png;base64,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', 'weight': 24}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 20035056
    {'hecke_orbit_code': 4503600030023729, 'n': 1, 'trace_an': 2}
  • id: 20035057
    {'hecke_orbit_code': 4503600030023729, 'n': 2, 'trace_an': 1080}
  • id: 20035058
    {'hecke_orbit_code': 4503600030023729, 'n': 3, 'trace_an': -339480}
  • id: 20035059
    {'hecke_orbit_code': 4503600030023729, 'n': 4, 'trace_an': 25326656}
  • id: 20035060
    {'hecke_orbit_code': 4503600030023729, 'n': 5, 'trace_an': -73069020}
  • id: 20035061
    {'hecke_orbit_code': 4503600030023729, 'n': 6, 'trace_an': 1809673056}
  • id: 20035062
    {'hecke_orbit_code': 4503600030023729, 'n': 7, 'trace_an': 0}
  • id: 20035063
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