Embedded newform data - 256.8.a.r.1.5

Formats: - HTML - YAML - JSON - 2024-04-19T20:43:24.578619

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 16384, 'analytic_conductor': 79.97056652393518, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1]], 'atkin_lehner_string': '+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [256, 1, [255, 5], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 6, 'field_disc': 24699249520281536, 'field_disc_factorization': [[2, 6], [239, 1], [677, 2], [1877, 2]], 'field_poly': [-15296, 0, 4820, 0, -163, 0, 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': 1, 'hecke_cutters': [[3, [-4610229696, 0, 13205808, 0, -8020, 0, 1]], [5, [-412405245440000, 0, 19577926400, 0, -254032, 0, 1]], [7, [441929216, -1048384, -344, 1]]], 'hecke_orbit': 18, 'hecke_orbit_code': 76561193799516416, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 134217728, 'hecke_ring_index_factorization': [[2, 27]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 2, 1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '256.8.a.r', 'level': 256, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'minimal_twist': '8.8.b.a', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{1}q^{3}+(-\\beta _{1}-\\beta _{2})q^{5}+(115-\\beta _{4}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '256.8.a', 'trace_display': [0, 0, 0, 688], 'trace_hash': 107591027817818000, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.082', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.452', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.962', 'prec': 17}, {'__RealLiteral__': 0, 'data': '152.589', 'prec': 24}, {'__RealLiteral__': 0, 'data': '35.776', 'prec': 20}, {'__RealLiteral__': 0, 'data': '6076.668', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.507', 'prec': 17}, 'traces': [6, 0, 0, 0, 0, 0, 688, 0, 2918, 0, 0, 0, 0, 0, 17872, 0, 1452, 0, 0, 0, 0, 0, 1296, 0, 39314, 0, 0, 0, 0, 0, -89280, 0, 53880, 0, 0, 0, 0, 0, 328208, 0, -521244, 0, 0, 0, 0, 0, 1566432, 0, -511050, 0, 0, 0, 0, 0, 3270256, 0, 1889896, 0, 0, 0, 0, 0, 5776816, 0, 1416480, 0, 0, 0, 0, 0, 7597104, 0, -2089564, 0, 0, 0, 0, 0, 16015904, 0, -723058, 0, 0, 0, 0, 0, 37453776, 0, -2169084, 0, 0, 0, 0, 0, 48537936, 0, -1088308, 0, 0, 0, 0, 0, 66477296, 0, 6425216, 0, 0, 0, 0, 0, 105923152, 0, -4629396, 0, 0, 0, 0, 0, 101313120, 0, -12335018, 0, 0, 0, 0, 0, 120534272, 0, 8599288, 0, 0, 0, 0, 0, 184124128, 0, 42304548, 0, 0, 0, 0, 0, 174604080, 0, 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• 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

  
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'angles': [None, -0.17926042652678992, -0.34856524396599775, -0.1616105974684612, -0.3559360708823872, -0.3149720361323654, -0.08717062198418457, -0.28924513107292277, -0.21610347037251687, -0.13708495487227026, -0.19534861620235014, -0.22310551258469583, -0.2629417133124108, -0.19900406828346845, -0.236675247564746, -0.1703502453627967, -0.23859075448058692, -0.17785736821631884, -0.2397663690932567, -0.26424053856333674, -0.18382232938106222, -0.056061734384295576, -0.34572262839368734, -0.25522985657670094, -0.321851775065469, -0.20162804613755095, -0.20192640233259274, -0.25322079017837534, -0.37893871932638434, -0.14443568515249994, -0.08572539261331831, -0.12436369147198097, -0.17980290606437618, -0.09533759530050073, -0.21414342657603117, -0.32568450233431256, -0.16141488275421578, -0.3912520681509882, -0.07893746618237306, -0.226763978214849, -0.21891910374609688, -0.2539527878203305, -0.2900971483680602, -0.25376515927665205, -0.3398988965206744, -0.25866088768847356, 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-0.26346316888158505, -0.3131303540710851, -0.32880488967922733, -0.21128645057540588, -0.13169645847955502, -0.16938360487796716, -0.3982626067721315, -0.24139013680473087, -0.2497242668610952, -0.2228506750932231, -0.13361566049960763, -0.19454022953154873, -0.1288013568759653, -0.13188895217729357, -0.16426362734822306, -0.15244654005776534, -0.4133361218195345, -0.10277137565575167, -0.3341360319520178, -0.41711289530599843, -0.3813345400241289, -0.3175852534457899, -0.2916226951083677, -0.3972475856234988, -0.3177641524937731, -0.4120737660525886, -0.20729810208073254, -0.20693872070893848, -0.21067102081693542, -0.1573474432775737], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 5, 'dual_embedding_m': 5, 'embedding_index': 5, 'embedding_m': 5, 'embedding_root_imag': 0.0, 'embedding_root_real': 5.814296484715333, 'hecke_orbit': 18, 'hecke_orbit_code': 76561193799516416, 'label': '256.8.a.r.1.5', 'level': 256, 'weight': 8}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[2, -1]], 26, 9], [[[2, 1]], 28, 9]], 'ALdims': [28, 26], 'Nk2': 16384, 'analytic_conductor': 79.97056652393518, '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': [256, 1, [255, 5], [1, 1]], 'conrey_index': 1, 'cusp_dim': 212, 'dim': 54, 'eis_dim': 24, 'eis_new_dim': 4, 'hecke_cutter_primes': [3, 5, 7], 'hecke_orbit_code': 134217984, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 4, 6, 6], 'label': '256.8.a', 'level': 256, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'mf_dim': 236, 'mf_new_dim': 58, 'num_forms': 18, 'plus_dim': 28, 'prim_orbit_index': 1, 'relative_dim': 54, 'sturm_bound': 256, 'trace_bound': 9, 'trace_display': [0, 0, 0, 0], 'traces': [54, 0, 0, 0, 0, 0, 0, 0, 36454, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 718754, 0, 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-1498678129888, 0, 0, 0, 0, 0, 0, 0, 3532906157312, 0, 0, 0, 0, 0, 0, 0, 13947806002296, 0, 0, 0, 0, 0, 0, 0], 'weight': 8, '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: 48142479
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 76561193799516416, 'source_is_minimal': False, 'source_label': '256.8.a.r.1.5', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 76561193799516416, 'target_is_minimal': False, 'target_label': '256.8.a.r.1.5', 'target_level': 256, 'twist_class_label': '8.8.b.a.5.1', 'twist_class_level': 8, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 48142480
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 76561193799516416, 'source_is_minimal': False, 'source_label': '256.8.a.r.1.5', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 72057594172145920, 'target_is_minimal': False, 'target_label': '256.8.a.q.1.2', 'target_level': 256, 'twist_class_label': '8.8.b.a.5.1', 'twist_class_level': 8, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 48142481
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 76561193799516416, 'source_is_minimal': False, 'source_label': '256.8.a.r.1.5', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 72057594172145920, 'target_is_minimal': False, 'target_label': '256.8.a.q.1.5', 'target_level': 256, 'twist_class_label': '8.8.b.a.5.1', 'twist_class_level': 8, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 48142482
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 76561193799516416, 'source_is_minimal': False, 'source_label': '256.8.a.r.1.5', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 76561193799516416, 'target_is_minimal': False, 'target_label': '256.8.a.r.1.2', 'target_level': 256, 'twist_class_label': '8.8.b.a.5.1', 'twist_class_level': 8, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 8}
  • id: 48142483
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 76561193799516416, 'source_is_minimal': False, 'source_label': '256.8.a.r.1.5', 'source_level': 256, 'target_conrey_index': 17, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 68853694496, 'target_is_minimal': False, 'target_label': '32.8.b.a.17.2', 'target_level': 32, 'twist_class_label': '8.8.b.a.5.1', 'twist_class_level': 8, 'twisting_char_label': '16.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 48142484
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 76561193799516416, 'source_is_minimal': False, 'source_label': '256.8.a.r.1.5', 'source_level': 256, 'target_conrey_index': 5, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 68853694472, 'target_is_minimal': True, 'target_label': '8.8.b.a.5.2', 'target_level': 8, 'twist_class_label': '8.8.b.a.5.1', 'twist_class_level': 8, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 8}
  • id: 48142485
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 76561193799516416, 'source_is_minimal': False, 'source_label': '256.8.a.r.1.5', 'source_level': 256, 'target_conrey_index': 17, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 68853694496, 'target_is_minimal': False, 'target_label': '32.8.b.a.17.5', 'target_level': 32, 'twist_class_label': '8.8.b.a.5.1', 'twist_class_level': 8, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 8}
  • id: 48142486
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 76561193799516416, 'source_is_minimal': False, 'source_label': '256.8.a.r.1.5', 'source_level': 256, 'target_conrey_index': 5, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 68853694472, 'target_is_minimal': True, 'target_label': '8.8.b.a.5.1', 'target_level': 8, 'twist_class_label': '8.8.b.a.5.1', 'twist_class_level': 8, 'twisting_char_label': '16.13', 'twisting_conrey_index': 13, 'weight': 8}
  • id: 48142487
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 76561193799516416, 'source_is_minimal': False, 'source_label': '256.8.a.r.1.5', 'source_level': 256, 'target_conrey_index': 37, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 4503805920018504, 'target_is_minimal': False, 'target_label': '72.8.d.b.37.5', 'target_level': 72, 'twist_class_label': '8.8.b.a.5.1', 'twist_class_level': 8, 'twisting_char_label': '48.5', 'twisting_conrey_index': 5, 'weight': 8}
  • id: 48142488
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 76561193799516416, 'source_is_minimal': False, 'source_label': '256.8.a.r.1.5', 'source_level': 256, 'target_conrey_index': 145, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 4503805920018720, 'target_is_minimal': False, 'target_label': '288.8.d.b.145.5', 'target_level': 288, 'twist_class_label': '8.8.b.a.5.1', 'twist_class_level': 8, 'twisting_char_label': '48.11', 'twisting_conrey_index': 11, 'weight': 8}
  • id: 48142489
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 76561193799516416, 'source_is_minimal': False, 'source_label': '256.8.a.r.1.5', 'source_level': 256, 'target_conrey_index': 37, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 4503805920018504, 'target_is_minimal': False, 'target_label': '72.8.d.b.37.6', 'target_level': 72, 'twist_class_label': '8.8.b.a.5.1', 'twist_class_level': 8, 'twisting_char_label': '48.29', 'twisting_conrey_index': 29, 'weight': 8}
  • id: 48142490
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 76561193799516416, 'source_is_minimal': False, 'source_label': '256.8.a.r.1.5', 'source_level': 256, 'target_conrey_index': 145, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503805920018720, 'target_is_minimal': False, 'target_label': '288.8.d.b.145.2', 'target_level': 288, 'twist_class_label': '8.8.b.a.5.1', 'twist_class_level': 8, 'twisting_char_label': '48.35', 'twisting_conrey_index': 35, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 597375
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 76561193799516416, 'p': 2}
  • id: 597376
    {'charpoly_factorization': [[[-4610229696, 0, 13205808, 0, -8020, 0, 1], 1]], 'hecke_orbit_code': 76561193799516416, 'p': 3}
  • id: 597377
    {'charpoly_factorization': [[[-412405245440000, 0, 19577926400, 0, -254032, 0, 1], 1]], 'hecke_orbit_code': 76561193799516416, 'p': 5}
  • id: 597378
    {'charpoly_factorization': [[[441929216, -1048384, -344, 1], 2]], 'hecke_orbit_code': 76561193799516416, 'p': 7}
  • id: 597379
    {'charpoly_factorization': [[[-2149855992230386161600, 0, 743173813625904, 0, -52294004, 0, 1], 1]], 'hecke_orbit_code': 76561193799516416, 'p': 11}
  • id: 597380
    {'charpoly_factorization': [[[-24487251428999370240000, 0, 5821641670624000, 0, -171080144, 0, 1], 1]], 'hecke_orbit_code': 76561193799516416, 'p': 13}
  • id: 597381
    {'charpoly_factorization': [[[-9112197964104, -907714996, -726, 1], 2]], 'hecke_orbit_code': 76561193799516416, 'p': 17}
  • id: 597382
    {'charpoly_factorization': [[[-475867300669609431337619904, 0, 2904356007201913648, 0, -3360814100, 0, 1], 1]], 'hecke_orbit_code': 76561193799516416, 'p': 19}
  • id: 597383
    {'charpoly_factorization': [[[-2134822184448, -505954624, -648, 1], 2]], 'hecke_orbit_code': 76561193799516416, 'p': 23}
  • id: 597384
    {'charpoly_factorization': [[[-424205494617184221641909760000, 0, 786969033263564256000, 0, -55662621776, 0, 1], 1]], 'hecke_orbit_code': 76561193799516416, 'p': 29}
  • id: 597385
    {'charpoly_factorization': [[[1867811583459328, -34183492608, 44640, 1], 2]], 'hecke_orbit_code': 76561193799516416, 'p': 31}
  • id: 597386
    {'charpoly_factorization': [[[-617992928421224147868032643723264, 0, 62693545808917922763520, 0, -490654094672, 0, 1], 1]], 'hecke_orbit_code': 76561193799516416, 'p': 37}
  • id: 597387
    {'charpoly_factorization': [[[-17679961159949400, -233067695380, 260622, 1], 2]], 'hecke_orbit_code': 76561193799516416, 'p': 41}
  • id: 597388
    {'charpoly_factorization': [[[-7785148142341185674388965355456, 0, 1911474156456083249200, 0, -124911737588, 0, 1], 1]], 'hecke_orbit_code': 76561193799516416, 'p': 43}
  • id: 597389
    {'charpoly_factorization': [[[15251091035959296, -49048909056, -783216, 1], 2]], 'hecke_orbit_code': 76561193799516416, 'p': 47}
  • id: 597390
    {'charpoly_factorization': [[[-1206327310526039972497627084133953536, 0, 4181846884553965477356288, 0, -3916631783120, 0, 1], 1]], 'hecke_orbit_code': 76561193799516416, 'p': 53}
  • id: 597391
    {'charpoly_factorization': [[[-550737065763712802555226997336378304, 0, 11119713619132481564744240, 0, -6619585104052, 0, 1], 1]], 'hecke_orbit_code': 76561193799516416, 'p': 59}
  • id: 597392
    {'charpoly_factorization': [[[-1053139851314178567056917443970560000, 0, 5487833931913656286089984, 0, -4505952081744, 0, 1], 1]], 'hecke_orbit_code': 76561193799516416, 'p': 61}
  • id: 597393
    {'charpoly_factorization': [[[-756734382489347558070672940185024, 0, 126799666134501803239728, 0, -1291377394260, 0, 1], 1]], 'hecke_orbit_code': 76561193799516416, 'p': 67}
  • id: 597394
    {'charpoly_factorization': [[[-3841164241580155392, -9464693891904, -3798552, 1], 2]], 'hecke_orbit_code': 76561193799516416, 'p': 71}
  • id: 597395
    {'charpoly_factorization': [[[-216053954068698072, -9934777446036, 1044782, 1], 2]], 'hecke_orbit_code': 76561193799516416, 'p': 73}
  • id: 597396
    {'charpoly_factorization': [[[49251461081810391040, -7783396574464, -8007952, 1], 2]], 'hecke_orbit_code': 76561193799516416, 'p': 79}
  • id: 597397
    {'charpoly_factorization': [[[-63652853266017468506124209929689530816, 0, 110669295989097617184580400, 0, -37884069033748, 0, 1], 1]], 'hecke_orbit_code': 76561193799516416, 'p': 83}
  • id: 597398
    {'charpoly_factorization': [[[-1174636932800532120, -2404948069204, 1084542, 1], 2]], 'hecke_orbit_code': 76561193799516416, 'p': 89}
  • id: 597399
    {'charpoly_factorization': [[[-1662041066006495624, -57460066941556, 544154, 1], 2]], 'hecke_orbit_code': 76561193799516416, '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': 18, 'label': '256.8.a.r', 'level': 256, 'portrait': 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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 243350000
    {'hecke_orbit_code': 76561193799516416, 'n': 1, 'trace_an': 6}
  • id: 243350001
    {'hecke_orbit_code': 76561193799516416, 'n': 2, 'trace_an': 0}
  • id: 243350002
    {'hecke_orbit_code': 76561193799516416, 'n': 3, 'trace_an': 0}
  • id: 243350003
    {'hecke_orbit_code': 76561193799516416, 'n': 4, 'trace_an': 0}
  • id: 243350004
    {'hecke_orbit_code': 76561193799516416, 'n': 5, 'trace_an': 0}
  • id: 243350005
    {'hecke_orbit_code': 76561193799516416, 'n': 6, 'trace_an': 0}
  • id: 243350006
    {'hecke_orbit_code': 76561193799516416, 'n': 7, 'trace_an': 688}
  • id: 243350007
    {'hecke_orbit_code': 76561193799516416, 'n': 8, 'trace_an': 0}
  • id: 243350008
    {'hecke_orbit_code': 76561193799516416, 'n': 9, 'trace_an': 2918}
  • id: 243350009
    {'hecke_orbit_code': 76561193799516416, 'n': 10, 'trace_an': 0}
  • id: 243350010
    {'hecke_orbit_code': 76561193799516416, 'n': 11, 'trace_an': 0}
  • id: 243350011
    {'hecke_orbit_code': 76561193799516416, 'n': 12, 'trace_an': 0}
  • id: 243350012
    {'hecke_orbit_code': 76561193799516416, 'n': 13, 'trace_an': 0}
  • id: 243350013
    {'hecke_orbit_code': 76561193799516416, 'n': 14, 'trace_an': 0}
  • id: 243350014
    {'hecke_orbit_code': 76561193799516416, 'n': 15, 'trace_an': 17872}
  • id: 243350015
    {'hecke_orbit_code': 76561193799516416, 'n': 16, 'trace_an': 0}
  • id: 243350016
    {'hecke_orbit_code': 76561193799516416, 'n': 17, 'trace_an': 1452}
  • id: 243350017
    {'hecke_orbit_code': 76561193799516416, 'n': 18, 'trace_an': 0}
  • id: 243350018
    {'hecke_orbit_code': 76561193799516416, 'n': 19, 'trace_an': 0}
  • id: 243350019
    {'hecke_orbit_code': 76561193799516416, 'n': 20, 'trace_an': 0}
  • id: 243350020
    {'hecke_orbit_code': 76561193799516416, 'n': 21, 'trace_an': 0}
  • id: 243350021
    {'hecke_orbit_code': 76561193799516416, 'n': 22, 'trace_an': 0}
  • id: 243350022
    {'hecke_orbit_code': 76561193799516416, 'n': 23, 'trace_an': 1296}
  • id: 243350023
    {'hecke_orbit_code': 76561193799516416, 'n': 24, 'trace_an': 0}
  • id: 243350024
    {'hecke_orbit_code': 76561193799516416, 'n': 25, 'trace_an': 39314}
  • id: 243350025
    {'hecke_orbit_code': 76561193799516416, 'n': 26, 'trace_an': 0}
  • id: 243350026
    {'hecke_orbit_code': 76561193799516416, 'n': 27, 'trace_an': 0}
  • id: 243350027
    {'hecke_orbit_code': 76561193799516416, 'n': 28, 'trace_an': 0}
  • id: 243350028
    {'hecke_orbit_code': 76561193799516416, 'n': 29, 'trace_an': 0}
  • id: 243350029
    {'hecke_orbit_code': 76561193799516416, 'n': 30, 'trace_an': 0}
  • id: 243350030
    {'hecke_orbit_code': 76561193799516416, 'n': 31, 'trace_an': -89280}
  • id: 243350031
    {'hecke_orbit_code': 76561193799516416, 'n': 32, 'trace_an': 0}
  • id: 243350032
    {'hecke_orbit_code': 76561193799516416, 'n': 33, 'trace_an': 53880}
  • id: 243350033
    {'hecke_orbit_code': 76561193799516416, 'n': 34, 'trace_an': 0}
  • id: 243350034
    {'hecke_orbit_code': 76561193799516416, 'n': 35, 'trace_an': 0}
  • id: 243350035
    {'hecke_orbit_code': 76561193799516416, 'n': 36, 'trace_an': 0}
  • id: 243350036
    {'hecke_orbit_code': 76561193799516416, 'n': 37, 'trace_an': 0}
  • id: 243350037
    {'hecke_orbit_code': 76561193799516416, 'n': 38, 'trace_an': 0}
  • id: 243350038
    {'hecke_orbit_code': 76561193799516416, 'n': 39, 'trace_an': 328208}
  • id: 243350039
    {'hecke_orbit_code': 76561193799516416, 'n': 40, 'trace_an': 0}
  • id: 243350040
    {'hecke_orbit_code': 76561193799516416, 'n': 41, 'trace_an': -521244}
  • id: 243350041
    {'hecke_orbit_code': 76561193799516416, 'n': 42, 'trace_an': 0}
  • id: 243350042
    {'hecke_orbit_code': 76561193799516416, 'n': 43, 'trace_an': 0}
  • id: 243350043
    {'hecke_orbit_code': 76561193799516416, 'n': 44, 'trace_an': 0}
  • id: 243350044
    {'hecke_orbit_code': 76561193799516416, 'n': 45, 'trace_an': 0}
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