Embedded newform data - 6080.2.a.br.1.1

Formats: - HTML - YAML - JSON - 2026-07-26T02:30:29.626340

• 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': 24320, 'analytic_conductor': 48.54904442893847, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, -1], [19, -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': [6080, 1, [191, 5701, 1217, 1921], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 316, 'field_disc_factorization': [[2, 2], [79, 1]], 'field_poly': [2, -4, -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': [[3, [-2, -4, 1, 1]], [7, [-16, -16, -1, 1]], [11, [16, -28, 0, 1]]], 'hecke_orbit': 44, 'hecke_orbit_code': 193654784010491840, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], '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': '6080.2.a.br', 'level': 6080, '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, 5, 19], 'level_radical': 190, 'minimal_twist': '760.2.a.i', 'nf_label': '3.3.316.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{1}q^{3}+q^{5}+(1-2\\beta _{1}+\\beta _{2})q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '6080.2.a', 'trace_display': [0, -1, 3, 1], 'trace_hash': 280017810438327103, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.063', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.862', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.103', 'prec': 17}, {'__RealLiteral__': 0, 'data': '22.364', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '276.014', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.008', 'prec': 17}, 'traces': [3, 0, -1, 0, 3, 0, 1, 0, 0, 0, 0, 0, 11, 0, -1, 0, -3, 0, 3, 0, 13, 0, 9, 0, 3, 0, -1, 0, 7, 0, -6, 0, -8, 0, 1, 0, 20, 0, -3, 0, -22, 0, -10, 0, 0, 0, 0, 0, 12, 0, -3, 0, 7, 0, 0, 0, -1, 0, 11, 0, 16, 0, 6, 0, 11, 0, -1, 0, 1, 0, 0, 0, -5, 0, -1, 0, 12, 0, -26, 0, -13, 0, -14, 0, -3, 0, -33, 0, -6, 0, 29, 0, -6, 0, 3, 0, 8, 0, 28, 0, 4, 0, -6, 0, 13, 0, -7, 0, -3, 0, -2, 0, -10, 0, 9, 0, 24, 0, 5, 0, 23, 0, -18, 0, 3, 0, -12, 0, 30, 0, -24, 0, 1, 0, -1, 0, 17, 0, 12, 0, -16, 0, 48, 0, 7, 0, 44, 0, -8, 0, -18, 0, 14, 0, -6, 0, 50, 0, -55, 0, -3, 0, 14, 0, -8, 0, 28, 0, 50, 0, 0, 0, -16, 0, 1, 0, 43, 0, 20, 0, 26, 0, 20, 0, 20, 0, 28, 0, -33, 0, 3, 0, -12, 0, -3, 0, -14, 0, -13, 0, 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-24, 0, 13, 0, 0, 0, 36, 0, -5, 0, -150, 0, 34, 0, -76, 0, -237, 0, 12, 0, 130, 0, -28, 0, -61, 0, -18, 0, -48, 0, -41, 0, -58, 0, 150, 0, -129, 0, 52, 0, -124, 0, -34, 0, -122, 0, -70, 0, 197, 0, 164, 0, -7, 0, -34, 0, -16, 0, -60, 0, -14, 0, -32, 0, 50, 0, 70, 0, 46, 0, 193, 0, -20, 0, -18, 0, 70, 0, -22, 0, -7, 0, -28, 0, 64, 0, -44, 0, -34, 0, -80, 0, -62, 0, 48, 0, 146, 0, 75, 0, 68, 0, -3, 0, -40, 0, -20, 0, 116, 0, -92, 0, -2, 0, 49, 0, 88, 0, -10, 0, 55, 0, -36, 0, 126, 0, -58, 0, -128, 0, 170, 0, 7, 0, 37, 0, -108, 0, 224, 0, -70, 0, 18, 0, 128, 0, 0, 0, -66, 0, -232, 0, -2, 0, 64, 0, 136, 0, 36, 0, 93, 0, -36, 0, 125, 0, 82, 0, -25, 0, 44, 0, 14, 0, -12, 0, 38, 0, -220, 0, -47, 0, -28, 0, 178, 0, 226, 0, -1, 0, -18, 0, -38, 0, 22, 0, 18, 0, -110, 0, 15, 0, -10, 0, -276, 0, -22, 0, -8, 0, 4, 0, -55, 0, 50, 0, -10, 0, 72, 0, -65, 0, -36, 0, -333, 0, 40, 0, 132, 0, -132, 0, -14, 0, 19, 0, 52, 0, 142, 0, 118, 0, 23, 0, -144, 0, -18, 0, 184, 0, 60, 0, 9, 0, 109, 0, 92, 0, 78, 0, -13, 0, 61, 0, -156, 0, 69, 0, 266, 0, -88, 0, 78, 0, 1, 0, -114, 0, 28, 0, -158, 0, 22, 0, 14, 0, 150, 0, 0, 0, -124, 0, 0, 0, -11, 0, 40, 0, 22, 0, -164, 0, 24, 0, -13, 0, -48, 0, 14, 0, 214, 0, 6, 0, 80, 0, -127, 0, -30, 0, -73, 0, -6, 0, 155, 0, 26, 0, -227, 0, 90, 0, 58, 0, 13, 0, 0, 0, -112, 0, -125, 0, 2, 0, 62, 0, 67, 0, -24, 0, -86, 0, 5, 0, 102, 0, 42, 0, 124, 0, 50, 0, -9, 0, 80, 0, 180, 0, -114, 0, 246, 0, 62, 0, -136, 0, 55, 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], [-1.3526872725319872, 0.0], [0.0, 0.0], [0.4472135954999579, 0.0], [0.0, 0.0], [-0.45225626034473887, 0.0], [0.0, 0.0], [0.8297628572700263, 0.0], [0.0, 0.0], [1.5010974886570354, 0.0], [0.0, 0.0], [1.8403993048161718, 0.0], [0.0, 0.0], [-0.6049401387360615, 0.0], [0.0, 0.0], [0.36120553462342514, 0.0], [0.0, 0.0], [0.22941573387056177, 0.0], [0.0, 0.0], [0.611761287291241, 0.0], [0.0, 0.0], [0.10649069420127324, 0.0], [0.0, 0.0], [0.2, 0.0], [0.0, 0.0], [0.23027761628304677, 0.0], [0.0, 0.0], [1.4637256317310188, 0.0], [0.0, 0.0], [0.5349682474899469, 0.0], [0.0, 0.0], [-2.030515467736101, 0.0], [0.0, 0.0], [-0.20225514827613572, 0.0], [0.0, 0.0], [1.1748552493109645, 0.0], [0.0, 0.0], [-2.4894847160015523, 0.0], [0.0, 0.0], [0.2599392495688638, 0.0], [0.0, 0.0], [-0.9749409260636617, 0.0], [0.0, 0.0], [0.37108123081204686, 0.0], [0.0, 0.0], [1.452400225451533, 0.0], [0.0, 0.0], [-0.7954642749789917, 0.0], [0.0, 0.0], [-0.4885981294532191, 0.0], [0.0, 0.0], [1.5689164874609935, 0.0], [0.0, 0.0], [0.6713112050982701, 0.0], [0.0, 0.0], [-0.3103277433252944, 0.0], [0.0, 0.0], [-1.541379168573152, 0.0], [0.0, 0.0], [-0.46918132726008055, 0.0], [0.0, 0.0], [-0.3752654468019074, 0.0], [0.0, 0.0], [0.8230515902624632, 0.0], [0.0, 0.0], [0.9302263954497031, 0.0], [0.0, 0.0], [-0.1440486066891582, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.6197977504543546, 0.0], [0.0, 0.0], [-0.27053745450639743, 0.0], [0.0, 0.0], [-0.6788807366329099, 0.0], [0.0, 0.0], [-1.4272692033873982, 0.0], [0.0, 0.0], [-1.1412564579651083, 0.0], [0.0, 0.0], [-0.9533954767463616, 0.0], [0.0, 0.0], [0.1615360258534265, 0.0], [0.0, 0.0], [-1.9799630325213915, 0.0], [0.0, 0.0], [-0.5170874168511304, 0.0], [0.0, 0.0], [-0.832332107137219, 0.0], [0.0, 0.0], [-0.7236447395883933, 0.0], [0.0, 0.0], [0.10259783520851541, 0.0], [0.0, 0.0], [-0.69153082877949, 0.0], [0.0, 0.0], [1.2455549412289226, 0.0], [0.0, 0.0]], 'angles': [None, -0.3682182733071713, None, -0.2863034031571468, -0.11489462723096523, -0.06401309104742706, -0.2210975798440589, None, -0.2415217305126452, -0.11932558709851188, -0.20690385488090268, -0.15007034348004586, -0.2292560081858817, -0.3310401600234587, -0.12064229214392877, -0.10647055511152465, -0.39004403712158786, -0.2876874862006409, -0.17300681039803956, -0.25, -0.09976096547185162, -0.3764761424621146, -0.32908318687571436, -0.2916213013609923, -0.306190351394913, -0.23180597144415963, -0.19797007857964713, -0.18918172214443282, -0.3836698524296071, -0.2556400263162639, -0.32647160066903064, -0.39353039020388847, -0.3190419815830022, -0.2566069732521059, -0.19513690201894696, -0.3453351834879607, -0.1421845488674758, -0.21348136196709616, -0.1601210734936208, -0.3451806328205123, -0.15046736999583604, -0.15740417927111144, -0.21300360323462, -0.3745965776976643, -0.3127688521835945, -0.26584063196601987, -0.31331026464705386, -0.3496158185502387, -0.2703873742611911, -0.16962476915430325, -0.18594881263801358, -0.3341073956842525, -0.3365088329461245, -0.11388420529973292, -0.3878972393410777, -0.17627221953858674, -0.17982084857176378, -0.21708523528914317, -0.11162938597987526, -0.20635544845331097, -0.19188282304149942, -0.3715160393169512, -0.325589019905461, -0.10735018086361653, -0.2035769152737088, -0.40642014815752964, -0.0920568900068389, -0.12390423557359223, -0.2814499215090436, -0.2526765185274171, -0.28515449669999365, -0.3018681457441103, -0.32763475308041373, -0.3891415133965491, -0.2779533849148179, -0.1635740025184548, -0.25158614302963067, -0.3220457008571073, -0.19684766092679412, -0.32687571493237627, -0.27035732786162747, -0.2200309972256445, -0.1798794414663013, -0.17885542789021217, -0.3076280271202615, -0.16066137425643365, -0.4556352530768239, -0.21997839115691845, -0.1505147429784954, -0.11777683976549129, -0.16958171090718854, -0.3591550487793142, -0.26156344680519755, -0.3307028639481101, -0.33678009823942856, -0.24331892289350351, -0.26931886093336704, -0.21047031585564302, -0.36014432920635764, -0.32167978095812255], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 2.3429230827771703, 'hecke_orbit': 44, 'hecke_orbit_code': 193654784010491840, 'label': '6080.2.a.br.1.1', 'level': 6080, '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

  
  {'ALdims': [17, 21, 19, 15, 19, 15, 17, 21], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [90, 107, 103, 97, 101, 99, 103, 93], 'Nk2': 24320, 'analytic_conductor': 48.54904442893847, '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': [6080, 1, [191, 5701, 1217, 1921], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 937, 'dim': 144, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 11], 'hecke_orbit_code': 33560512, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5], 'label': '6080.2.a', 'level': 6080, '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, 5, 19], 'level_radical': 190, 'mf_dim': 984, 'mf_new_dim': 144, 'num_forms': 64, 'plus_dim': 64, 'prim_orbit_index': 1, 'relative_dim': 144, 'sturm_bound': 1920, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [144, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, -64, 0, 0, 0, 96, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -96, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -64, 0, 0, 0, 96, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 144, 0, 0, 0, 64, 0, 0, 0, -64, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 32, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 128, 0, 0, 0, 160, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, -96, 0, 0, 0, 128, 0, 0, 0, 224, 0, 0, 0, 32, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -128, 0, 0, 0, -64, 0, 0, 0, -320, 0, 0, 0, -32, 0, 0, 0, 192, 0, 0, 0, 128, 0, 0, 0, 64, 0, 0, 0, 144, 0, 0, 0, -96, 0, 0, 0, -192, 0, 0, 0, 352, 0, 0, 0, -192, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -64, 0, 0, 0, 96, 0, 0, 0, -96, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, -192, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 272, 0, 0, 0, 64, 0, 0, 0, -320, 0, 0, 0, -192, 0, 0, 0, -128, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, -192, 0, 0, 0, 320, 0, 0, 0, 64, 0, 0, 0, -96, 0, 0, 0, -160, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -512, 0, 0, 0, 64, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, -128, 0, 0, 0, -32, 0, 0, 0, 224, 0, 0, 0, -64, 0, 0, 0, -256, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 64, 0, 0, 0, 96, 0, 0, 0, -128, 0, 0, 0, -32, 0, 0, 0, -192, 0, 0, 0, 144, 0, 0, 0, 64, 0, 0, 0, 224, 0, 0, 0, 192, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -64, 0, 0, 0, -96, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 96, 0, 0, 0, -96, 0, 0, 0, 96, 0, 0, 0, -128, 0, 0, 0, 128, 0, 0, 0, -160, 0, 0, 0, 96, 0, 0, 0, 224, 0, 0, 0, 128, 0, 0, 0, 64, 0, 0, 0, 224, 0, 0, 0, 32, 0, 0, 0, 144, 0, 0, 0, -96, 0, 0, 0, -192, 0, 0, 0, 64, 0, 0, 0, 96, 0, 0, 0, -192, 0, 0, 0, -192, 0, 0, 0, -160, 0, 0, 0, -352, 0, 0, 0, -96, 0, 0, 0, 160, 0, 0, 0, -576, 0, 0, 0, -224, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, -288, 0, 0, 0, -96, 0, 0, 0, -192, 0, 0, 0, -288, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -224, 0, 0, 0, 288, 0, 0, 0, 368, 0, 0, 0, 64, 0, 0, 0, -32, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 544, 0, 0, 0, -128, 0, 0, 0, 224, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -384, 0, 0, 0, -128, 0, 0, 0, 576, 0, 0, 0, 64, 0, 0, 0, -32, 0, 0, 0, -160, 0, 0, 0, 32, 0, 0, 0, -64, 0, 0, 0, -96, 0, 0, 0, 128, 0, 0, 0, 32, 0, 0, 0, 64, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 208, 0, 0, 0, -96, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 128, 0, 0, 0, 384, 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: 48977373
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 193654784010491840, 'source_is_minimal': False, 'source_label': '6080.2.a.br.1.1', 'source_level': 6080, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 193654784010491840, 'target_is_minimal': False, 'target_label': '6080.2.a.br.1.1', 'target_level': 6080, 'twist_class_label': '760.2.a.i.1.1', 'twist_class_level': 760, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48977374
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 193654784010491840, 'source_is_minimal': False, 'source_label': '6080.2.a.br.1.1', 'source_level': 6080, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 220676381774714816, 'target_is_minimal': False, 'target_label': '6080.2.a.bx.1.3', 'target_level': 6080, 'twist_class_label': '760.2.a.i.1.1', 'twist_class_level': 760, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48977375
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 193654784010491840, 'source_is_minimal': False, 'source_label': '6080.2.a.br.1.1', 'source_level': 6080, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797052519160, 'target_is_minimal': True, 'target_label': '760.2.a.i.1.1', 'target_level': 760, 'twist_class_label': '760.2.a.i.1.1', 'twist_class_level': 760, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48977376
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 193654784010491840, 'source_is_minimal': False, 'source_label': '6080.2.a.br.1.1', 'source_level': 6080, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 72057594071483888, 'target_is_minimal': False, 'target_label': '1520.2.a.q.1.3', 'target_level': 1520, 'twist_class_label': '760.2.a.i.1.1', 'twist_class_level': 760, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 48977377
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 193654784010491840, 'source_is_minimal': False, 'source_label': '6080.2.a.br.1.1', 'source_level': 6080, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 171136785873640120, 'target_is_minimal': False, 'target_label': '6840.2.a.bm.1.2', 'target_level': 6840, 'twist_class_label': '760.2.a.i.1.1', 'twist_class_level': 760, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48977378
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 193654784010491840, 'source_is_minimal': False, 'source_label': '6080.2.a.br.1.1', 'source_level': 6080, 'target_conrey_index': 3649, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58547001347804888, 'target_is_minimal': False, 'target_label': '3800.2.d.n.3649.1', 'target_level': 3800, 'twist_class_label': '760.2.a.i.1.1', 'twist_class_level': 760, 'twisting_char_label': '40.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48977379
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 193654784010491840, 'source_is_minimal': False, 'source_label': '6080.2.a.br.1.1', 'source_level': 6080, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 99079191835709144, 'target_is_minimal': False, 'target_label': '3800.2.a.w.1.3', 'target_level': 3800, 'twist_class_label': '760.2.a.i.1.1', 'twist_class_level': 760, 'twisting_char_label': '40.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 48977380
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 193654784010491840, 'source_is_minimal': False, 'source_label': '6080.2.a.br.1.1', 'source_level': 6080, 'target_conrey_index': 3649, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 58547001347804888, 'target_is_minimal': False, 'target_label': '3800.2.d.n.3649.6', 'target_level': 3800, 'twist_class_label': '760.2.a.i.1.1', 'twist_class_level': 760, 'twisting_char_label': '40.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 48977381
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 193654784010491840, 'source_is_minimal': False, 'source_label': '6080.2.a.br.1.1', 'source_level': 6080, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 184647584755752368, 'target_is_minimal': False, 'target_label': '7600.2.a.bp.1.1', 'target_level': 7600, 'twist_class_label': '760.2.a.i.1.1', 'twist_class_level': 760, 'twisting_char_label': '40.29', 'twisting_conrey_index': 29, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4085825
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 193654784010491840, 'p': 2}
  • id: 4085826
    {'charpoly_factorization': [[[-2, -4, 1, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 3}
  • id: 4085827
    {'charpoly_factorization': [[[-1, 1], 3]], 'hecke_orbit_code': 193654784010491840, 'p': 5}
  • id: 4085828
    {'charpoly_factorization': [[[-16, -16, -1, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 7}
  • id: 4085829
    {'charpoly_factorization': [[[16, -28, 0, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 11}
  • id: 4085830
    {'charpoly_factorization': [[[86, 16, -11, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 13}
  • id: 4085831
    {'charpoly_factorization': [[[-4, -4, 3, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 17}
  • id: 4085832
    {'charpoly_factorization': [[[-1, 1], 3]], 'hecke_orbit_code': 193654784010491840, 'p': 19}
  • id: 4085833
    {'charpoly_factorization': [[[-8, 20, -9, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 23}
  • id: 4085834
    {'charpoly_factorization': [[[292, -44, -7, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 29}
  • id: 4085835
    {'charpoly_factorization': [[[-32, -16, 6, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 31}
  • id: 4085836
    {'charpoly_factorization': [[[-244, 126, -20, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 37}
  • id: 4085837
    {'charpoly_factorization': [[[-232, 100, 22, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 41}
  • id: 4085838
    {'charpoly_factorization': [[[-352, -32, 10, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 43}
  • id: 4085839
    {'charpoly_factorization': [[[128, -112, 0, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 47}
  • id: 4085840
    {'charpoly_factorization': [[[1342, -168, -7, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 53}
  • id: 4085841
    {'charpoly_factorization': [[[1544, -140, -11, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 59}
  • id: 4085842
    {'charpoly_factorization': [[[352, 24, -16, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 61}
  • id: 4085843
    {'charpoly_factorization': [[[262, -100, 1, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 67}
  • id: 4085844
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 193654784010491840, 'p': 71}
  • id: 4085845
    {'charpoly_factorization': [[[-1228, -172, 5, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 73}
  • id: 4085846
    {'charpoly_factorization': [[[496, 208, 26, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 79}
  • id: 4085847
    {'charpoly_factorization': [[[16, 48, 14, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 83}
  • id: 4085848
    {'charpoly_factorization': [[[-1256, -252, 6, 1], 1]], 'hecke_orbit_code': 193654784010491840, 'p': 89}
  • id: 4085849
    {'charpoly_factorization': [[[292, -58, -8, 1], 1]], 'hecke_orbit_code': 193654784010491840, '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': 44, 'label': '6080.2.a.br', 'level': 6080, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 70955911
    {'hecke_orbit_code': 193654784010491840, 'n': 1, 'trace_an': 3}
  • id: 70955912
    {'hecke_orbit_code': 193654784010491840, 'n': 2, 'trace_an': 0}
  • id: 70955913
    {'hecke_orbit_code': 193654784010491840, 'n': 3, 'trace_an': -1}
  • id: 70955914
    {'hecke_orbit_code': 193654784010491840, 'n': 4, 'trace_an': 0}
  • id: 70955915
    {'hecke_orbit_code': 193654784010491840, 'n': 5, 'trace_an': 3}
  • id: 70955916
    {'hecke_orbit_code': 193654784010491840, 'n': 6, 'trace_an': 0}
  • id: 70955917
    {'hecke_orbit_code': 193654784010491840, 'n': 7, 'trace_an': 1}
  • id: 70955918
    {'hecke_orbit_code': 193654784010491840, 'n': 8, 'trace_an': 0}
  • id: 70955919
    {'hecke_orbit_code': 193654784010491840, 'n': 9, 'trace_an': 0}
  • id: 70955920
    {'hecke_orbit_code': 193654784010491840, 'n': 10, 'trace_an': 0}
  • id: 70955921
    {'hecke_orbit_code': 193654784010491840, 'n': 11, 'trace_an': 0}
  • id: 70955922
    {'hecke_orbit_code': 193654784010491840, 'n': 12, 'trace_an': 0}
  • id: 70955923
    {'hecke_orbit_code': 193654784010491840, 'n': 13, 'trace_an': 11}
  • id: 70955924
    {'hecke_orbit_code': 193654784010491840, 'n': 14, 'trace_an': 0}
  • id: 70955925
    {'hecke_orbit_code': 193654784010491840, 'n': 15, 'trace_an': -1}
  • id: 70955926
    {'hecke_orbit_code': 193654784010491840, 'n': 16, 'trace_an': 0}
  • id: 70955927
    {'hecke_orbit_code': 193654784010491840, 'n': 17, 'trace_an': -3}
  • id: 70955928
    {'hecke_orbit_code': 193654784010491840, 'n': 18, 'trace_an': 0}
  • id: 70955929
    {'hecke_orbit_code': 193654784010491840, 'n': 19, 'trace_an': 3}
  • id: 70955930
    {'hecke_orbit_code': 193654784010491840, 'n': 20, 'trace_an': 0}
  • id: 70955931
    {'hecke_orbit_code': 193654784010491840, 'n': 21, 'trace_an': 13}
  • id: 70955932
    {'hecke_orbit_code': 193654784010491840, 'n': 22, 'trace_an': 0}
  • id: 70955933
    {'hecke_orbit_code': 193654784010491840, 'n': 23, 'trace_an': 9}
  • id: 70955934
    {'hecke_orbit_code': 193654784010491840, 'n': 24, 'trace_an': 0}
  • id: 70955935
    {'hecke_orbit_code': 193654784010491840, 'n': 25, 'trace_an': 3}
  • id: 70955936
    {'hecke_orbit_code': 193654784010491840, 'n': 26, 'trace_an': 0}
  • id: 70955937
    {'hecke_orbit_code': 193654784010491840, 'n': 27, 'trace_an': -1}
  • id: 70955938
    {'hecke_orbit_code': 193654784010491840, 'n': 28, 'trace_an': 0}
  • id: 70955939
    {'hecke_orbit_code': 193654784010491840, 'n': 29, 'trace_an': 7}
  • id: 70955940
    {'hecke_orbit_code': 193654784010491840, 'n': 30, 'trace_an': 0}
  • id: 70955941
    {'hecke_orbit_code': 193654784010491840, 'n': 31, 'trace_an': -6}
  • id: 70955942
    {'hecke_orbit_code': 193654784010491840, 'n': 32, 'trace_an': 0}
  • id: 70955943
    {'hecke_orbit_code': 193654784010491840, 'n': 33, 'trace_an': -8}
  • id: 70955944
    {'hecke_orbit_code': 193654784010491840, 'n': 34, 'trace_an': 0}
  • id: 70955945
    {'hecke_orbit_code': 193654784010491840, 'n': 35, 'trace_an': 1}
  • id: 70955946
    {'hecke_orbit_code': 193654784010491840, 'n': 36, 'trace_an': 0}
  • id: 70955947
    {'hecke_orbit_code': 193654784010491840, 'n': 37, 'trace_an': 20}
  • id: 70955948
    {'hecke_orbit_code': 193654784010491840, 'n': 38, 'trace_an': 0}
  • id: 70955949
    {'hecke_orbit_code': 193654784010491840, 'n': 39, 'trace_an': -3}
  • id: 70955950
    {'hecke_orbit_code': 193654784010491840, 'n': 40, 'trace_an': 0}
  • id: 70955951
    {'hecke_orbit_code': 193654784010491840, 'n': 41, 'trace_an': -22}
  • id: 70955952
    {'hecke_orbit_code': 193654784010491840, 'n': 42, 'trace_an': 0}
  • id: 70955953
    {'hecke_orbit_code': 193654784010491840, 'n': 43, 'trace_an': -10}
  • id: 70955954
    {'hecke_orbit_code': 193654784010491840, 'n': 44, 'trace_an': 0}
  • id: 70955955
    {'hecke_orbit_code': 193654784010491840, 'n': 45, 'trace_an': 0}
  • id: 70955956
    {'hecke_orbit_code': 193654784010491840, 'n': 46, 'trace_an': 0}
  • id: 70955957
    {'hecke_orbit_code': 193654784010491840, 'n': 47, 'trace_an': 0}
  • id: 70955958
    {'hecke_orbit_code': 193654784010491840, 'n': 48, 'trace_an': 0}
  • id: 70955959
    {'hecke_orbit_code': 193654784010491840, 'n': 49, 'trace_an': 12}
  • id: 70955960
    {'hecke_orbit_code': 193654784010491840, 'n': 50, 'trace_an': 0}
  • id: 70955961
    {'hecke_orbit_code': 193654784010491840, 'n': 51, 'trace_an': -3}
  • id: 70955962
    {'hecke_orbit_code': 193654784010491840, 'n': 52, 'trace_an': 0}
  • id: 70955963
    {'hecke_orbit_code': 193654784010491840, 'n': 53, 'trace_an': 7}
  • id: 70955964
    {'hecke_orbit_code': 193654784010491840, 'n': 54, 'trace_an': 0}
  • id: 70955965
    {'hecke_orbit_code': 193654784010491840, 'n': 55, 'trace_an': 0}
  • id: 70955966
    {'hecke_orbit_code': 193654784010491840, 'n': 56, 'trace_an': 0}
  • id: 70955967
    {'hecke_orbit_code': 193654784010491840, 'n': 57, 'trace_an': -1}
  • id: 70955968
    {'hecke_orbit_code': 193654784010491840, 'n': 58, 'trace_an': 0}
  • id: 70955969
    {'hecke_orbit_code': 193654784010491840, 'n': 59, 'trace_an': 11}
  • id: 70955970
    {'hecke_orbit_code': 193654784010491840, 'n': 60, 'trace_an': 0}
  • id: 70955971
    {'hecke_orbit_code': 193654784010491840, 'n': 61, 'trace_an': 16}
  • id: 70955972
    {'hecke_orbit_code': 193654784010491840, 'n': 62, 'trace_an': 0}
  • id: 70955973
    {'hecke_orbit_code': 193654784010491840, 'n': 63, 'trace_an': 6}
  • id: 70955974
    {'hecke_orbit_code': 193654784010491840, 'n': 64, 'trace_an': 0}
  • id: 70955975
    {'hecke_orbit_code': 193654784010491840, 'n': 65, 'trace_an': 11}
  • id: 70955976
    {'hecke_orbit_code': 193654784010491840, 'n': 66, 'trace_an': 0}
  • id: 70955977
    {'hecke_orbit_code': 193654784010491840, 'n': 67, 'trace_an': -1}
  • id: 70955978
    {'hecke_orbit_code': 193654784010491840, 'n': 68, 'trace_an': 0}
  • id: 70955979
    {'hecke_orbit_code': 193654784010491840, 'n': 69, 'trace_an': 1}
  • id: 70955980
    {'hecke_orbit_code': 193654784010491840, 'n': 70, 'trace_an': 0}
  • id: 70955981
    {'hecke_orbit_code': 193654784010491840, 'n': 71, 'trace_an': 0}
  • id: 70955982
    {'hecke_orbit_code': 193654784010491840, 'n': 72, 'trace_an': 0}
  • id: 70955983
    {'hecke_orbit_code': 193654784010491840, 'n': 73, 'trace_an': -5}
  • id: 70955984
    {'hecke_orbit_code': 193654784010491840, 'n': 74, 'trace_an': 0}
  • id: 70955985
    {'hecke_orbit_code': 193654784010491840, 'n': 75, 'trace_an': -1}
  • id: 70955986
    {'hecke_orbit_code': 193654784010491840, 'n': 76, 'trace_an': 0}
  • id: 70955987
    {'hecke_orbit_code': 193654784010491840, 'n': 77, 'trace_an': 12}
  • id: 70955988
    {'hecke_orbit_code': 193654784010491840, 'n': 78, 'trace_an': 0}
  • id: 70955989
    {'hecke_orbit_code': 193654784010491840, 'n': 79, 'trace_an': -26}
  • id: 70955990
    {'hecke_orbit_code': 193654784010491840, 'n': 80, 'trace_an': 0}
  • id: 70955991
    {'hecke_orbit_code': 193654784010491840, 'n': 81, 'trace_an': -13}
  • id: 70955992
    {'hecke_orbit_code': 193654784010491840, 'n': 82, 'trace_an': 0}
  • id: 70955993
    {'hecke_orbit_code': 193654784010491840, 'n': 83, 'trace_an': -14}
  • id: 70955994
    {'hecke_orbit_code': 193654784010491840, 'n': 84, 'trace_an': 0}
  • id: 70955995
    {'hecke_orbit_code': 193654784010491840, 'n': 85, 'trace_an': -3}
  • id: 70955996
    {'hecke_orbit_code': 193654784010491840, 'n': 86, 'trace_an': 0}
  • id: 70955997
    {'hecke_orbit_code': 193654784010491840, 'n': 87, 'trace_an': -33}
  • id: 70955998
    {'hecke_orbit_code': 193654784010491840, 'n': 88, 'trace_an': 0}
  • id: 70955999
    {'hecke_orbit_code': 193654784010491840, 'n': 89, 'trace_an': -6}
  • id: 70956000
    {'hecke_orbit_code': 193654784010491840, 'n': 90, 'trace_an': 0}
  • id: 70956001
    {'hecke_orbit_code': 193654784010491840, 'n': 91, 'trace_an': 29}
  • id: 70956002
    {'hecke_orbit_code': 193654784010491840, 'n': 92, 'trace_an': 0}
  • id: 70956003
    {'hecke_orbit_code': 193654784010491840, 'n': 93, 'trace_an': -6}
  • id: 70956004
    {'hecke_orbit_code': 193654784010491840, 'n': 94, 'trace_an': 0}
  • id: 70956005
    {'hecke_orbit_code': 193654784010491840, 'n': 95, 'trace_an': 3}
  • id: 70956006
    {'hecke_orbit_code': 193654784010491840, 'n': 96, 'trace_an': 0}
  • id: 70956007
    {'hecke_orbit_code': 193654784010491840, 'n': 97, 'trace_an': 8}
  • id: 70956008
    {'hecke_orbit_code': 193654784010491840, 'n': 98, 'trace_an': 0}
  • id: 70956009
    {'hecke_orbit_code': 193654784010491840, 'n': 99, 'trace_an': 28}
  • id: 70956010
    {'hecke_orbit_code': 193654784010491840, 'n': 100, 'trace_an': 0}