Embedded newform data - 736.2.a.h.1.2

Formats: - HTML - YAML - JSON - 2026-10-13T04:23:24.759013

• 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': 2944, 'analytic_conductor': 5.876989588766237, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [23, 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': [736, 1, [415, 645, 97], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 13768, 'field_disc_factorization': [[2, 3], [1721, 1]], 'field_poly': [2, 2, -5, -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, [16, 12, -9, -2, 1]], [7, [32, -24, -10, 4, 1]]], 'hecke_orbit': 8, 'hecke_orbit_code': 31525197425148640, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '736.2.a.h', 'level': 736, '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, 23], 'level_radical': 46, 'minimal_twist': '736.2.a.g', 'nf_label': '4.4.13768.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{2}q^{3}+(2-\\beta _{3})q^{5}+(-1+\\beta _{1})q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '736.2.a', 'trace_display': [0, 2, 6, -4], 'trace_hash': 1204030886397014288, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.062', 'prec': 7}, {'__RealLiteral__': 0, 'data': '3.880', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.865', 'prec': 10}, {'__RealLiteral__': 0, 'data': '40.389', 'prec': 17}, {'__RealLiteral__': 0, 'data': '12.937', 'prec': 17}, {'__RealLiteral__': 0, 'data': '622.854', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.014', 'prec': 7}, 'traces': [4, 0, 2, 0, 6, 0, -4, 0, 10, 0, 2, 0, 2, 0, 4, 0, 4, 0, 6, 0, 4, 0, -4, 0, 12, 0, 14, 0, 6, 0, -6, 0, 0, 0, -12, 0, 6, 0, -14, 0, 18, 0, 22, 0, 22, 0, -14, 0, 8, 0, 8, 0, 10, 0, -20, 0, -4, 0, 0, 0, 6, 0, -36, 0, -4, 0, 6, 0, -2, 0, 6, 0, -6, 0, 50, 0, 4, 0, -16, 0, 0, 0, 2, 0, 0, 0, -14, 0, 20, 0, 24, 0, -38, 0, -8, 0, -4, 0, -2, 0, 4, 0, -8, 0, -36, 0, 14, 0, -6, 0, 4, 0, 0, 0, -6, 0, -36, 0, 28, 0, -20, 0, 22, 0, 36, 0, -34, 0, -24, 0, -30, 0, -32, 0, 68, 0, -16, 0, 22, 0, -14, 0, 8, 0, -44, 0, -50, 0, -6, 0, 14, 0, -16, 0, -44, 0, -42, 0, -44, 0, 4, 0, -18, 0, -52, 0, 24, 0, -10, 0, 34, 0, 16, 0, -12, 0, -72, 0, -14, 0, -22, 0, 52, 0, 32, 0, 8, 0, -20, 0, 16, 0, -6, 0, -68, 0, 22, 0, -8, 0, -8, 0, 32, 0, -12, 0, -10, 0, 20, 0, 16, 0, 14, 0, 48, 0, -52, 0, -58, 0, 28, 0, -52, 0, 74, 0, 22, 0, 26, 0, 44, 0, 2, 0, 12, 0, -36, 0, -10, 0, 8, 0, 4, 0, 22, 0, -16, 0, 44, 0, -54, 0, -2, 0, -28, 0, 22, 0, -12, 0, -40, 0, 52, 0, -4, 0, 40, 0, 50, 0, -8, 0, 20, 0, -42, 0, -34, 0, 8, 0, 32, 0, 66, 0, -16, 0, -32, 0, -32, 0, -32, 0, 54, 0, -16, 0, -40, 0, -2, 0, -8, 0, 32, 0, 28, 0, 28, 0, 60, 0, 18, 0, -24, 0, -112, 0, -24, 0, 56, 0, -4, 0, -20, 0, -38, 0, 72, 0, 60, 0, -18, 0, 22, 0, 44, 0, -4, 0, -88, 0, 32, 0, -56, 0, -4, 0, -48, 0, 2, 0, -22, 0, 46, 0, 68, 0, -28, 0, 56, 0, -24, 0, 30, 0, 28, 0, 28, 0, 72, 0, -48, 0, 46, 0, 176, 0, 58, 0, -38, 0, 6, 0, -40, 0, 8, 0, 6, 0, 50, 0, -4, 0, 50, 0, 8, 0, -6, 0, 80, 0, 40, 0, -26, 0, 94, 0, -20, 0, 30, 0, 32, 0, 40, 0, 28, 0, -50, 0, 42, 0, 2, 0, -88, 0, 12, 0, 32, 0, 40, 0, -60, 0, 40, 0, -172, 0, -6, 0, -30, 0, 42, 0, -14, 0, 44, 0, 60, 0, 60, 0, 48, 0, 126, 0, 76, 0, -68, 0, 8, 0, -22, 0, -12, 0, -88, 0, 38, 0, -76, 0, -40, 0, -4, 0, -30, 0, 14, 0, 8, 0, -4, 0, -4, 0, 24, 0, -6, 0, -6, 0, 114, 0, 44, 0, -80, 0, -76, 0, -50, 0, -56, 0, 16, 0, 20, 0, -4, 0, 54, 0, 8, 0, -20, 0, -36, 0, -40, 0, 32, 0, 0, 0, 58, 0, -172, 0, -64, 0, 4, 0, -112, 0, -18, 0, -88, 0, -10, 0, -6, 0, -6, 0, -12, 0, -68, 0, 38, 0, 26, 0, 24, 0, 56, 0, 60, 0, -38, 0, 60, 0, 44, 0, -26, 0, 48, 0, -12, 0, -40, 0, 42, 0, -48, 0, -12, 0, -106, 0, -22, 0, 4, 0, 24, 0, -148, 0, -34, 0, 84, 0, -94, 0, 56, 0, 40, 0, -136, 0, -8, 0, -30, 0, 74, 0, -74, 0, -104, 0, 108, 0, 46, 0, -58, 0, -20, 0, 40, 0, -50, 0, -14, 0, -72, 0, 60, 0, 8, 0, 0, 0, 8, 0, 0, 0, -4, 0, -18, 0, 96, 0, -56, 0, 114, 0, -32, 0, -42, 0, 16, 0, 192, 0, -42, 0, 4, 0, -72, 0, -62, 0, 6, 0, -8, 0, -56, 0, -6, 0, 4, 0, -16, 0, 14, 0, 182, 0, -30, 0, -156, 0, -124, 0, 22, 0, -68, 0, 88, 0, 16, 0, 16, 0, 40, 0, 76, 0, 4, 0, -182, 0, 14, 0, -8, 0, -8, 0, -56, 0, -22, 0, -108, 0, 6, 0, 20, 0, -90, 0, 0, 0, -52, 0, 20, 0, -122, 0, -8, 0, -32, 0, 36, 0, 82, 0, -4, 0, -32, 0, 110, 0, 20, 0, 48, 0, 44, 0, 42, 0, -16, 0, -24, 0, -92, 0, 60, 0, -6, 0, 0, 0, 58, 0, 16, 0, -68, 0, 112, 0, 48, 0, -78, 0, 2, 0, -158, 0, -36, 0, 80, 0, -56, 0, -102, 0, -68, 0, 46, 0, 92, 0, -68, 0, -8, 0, -88, 0, 6, 0, 32, 0, 132, 0, -40, 0, 12, 0, -114, 0, 36, 0, 30, 0, 80, 0, -52, 0, 4, 0, 48, 0, 20, 0, -66, 0, -96, 0, 2, 0, -8, 0, -70, 0, -68, 0, 112, 0, -126, 0, 56, 0, 54, 0, 120, 0, 58, 0, 44, 0, 24, 0, -6, 0, 68, 0, 32, 0, -46, 0, 2, 0, 84, 0, -30, 0, -100, 0, -46, 0, -40, 0, -56, 0, 120, 0, -64, 0, 0, 0, 200, 0, 32, 0, -32, 0, -216, 0, 6, 0, 28, 0, -94, 0, -100, 0, 4, 0, 14, 0, 38, 0, -28, 0, 48, 0, -56, 0, -6, 0, 92, 0, -24, 0, -24, 0, 104, 0, 36, 0, -28, 0, 8, 0, -78, 0, 66, 0, 104, 0, 90, 0, 78, 0, 130, 0, -32, 0, -68, 0, -88, 0, 18, 0, -18, 0, -100, 0, 14, 0, 54, 0, 24, 0, -108, 0, -156, 0, 144, 0, 40, 0, 106, 0, 26, 0, -108, 0, -18, 0, 72, 0, 106, 0, -52, 0, -182, 0, 40, 0, -4, 0, 50, 0, -120, 0, 172, 0, -112, 0, -22, 0, -40, 0, 6, 0, -12, 0, -72, 0, 68, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [-0.5202965564030697, 0.0], [0.0, 0.0], [1.2469185234094355, 0.0], [0.0, 0.0], [0.8642892474168197, 0.0], [0.0, 0.0], [-0.7292914933951072, 0.0], [0.0, 0.0], [-0.23764960782998315, 0.0], [0.0, 0.0], [1.4388574960753282, 0.0], [0.0, 0.0], [-0.6487674138451298, 0.0], [0.0, 0.0], [1.0396761079459156, 0.0], [0.0, 0.0], [-0.7054279142662458, 0.0], [0.0, 0.0], [-0.449686719167172, 0.0], [0.0, 0.0], [-0.20851441405707477, 0.0], [0.0, 0.0], [0.5548058040215672, 0.0], [0.0, 0.0], [0.8997444090305962, 0.0], [0.0, 0.0], [0.6706359875757832, 0.0], [0.0, 0.0], [-1.6610972209111765, 0.0], [0.0, 0.0], [0.12364827258448023, 0.0], [0.0, 0.0], [1.0776982721876331, 0.0], [0.0, 0.0], [0.4583763654851185, 0.0], [0.0, 0.0], [-0.7486326003627367, 0.0], [0.0, 0.0], [-0.43170545177300773, 0.0], [0.0, 0.0], [1.963762082389698, 0.0], [0.0, 0.0], [-0.9093670720792894, 0.0], [0.0, 0.0], [1.0284879361861745, 0.0], [0.0, 0.0], [-0.25300409679966746, 0.0], [0.0, 0.0], [-0.5409398987388061, 0.0], [0.0, 0.0], [0.09992584757798768, 0.0], [0.0, 0.0], [-0.296329698084194, 0.0], [0.0, 0.0], [0.3670317145833276, 0.0], [0.0, 0.0], [1.5854547617634198, 0.0], [0.0, 0.0], [0.41900438329749834, 0.0], [0.0, 0.0], [-0.6303187959739458, 0.0], [0.0, 0.0], [1.7941380644028462, 0.0], [0.0, 0.0], [-0.46243507686610197, 0.0], [0.0, 0.0], [0.10848933159429984, 0.0], [0.0, 0.0], [-0.4626288201750779, 0.0], [0.0, 0.0], [1.0026474751677157, 0.0], [0.0, 0.0], [-0.28866354930485777, 0.0], [0.0, 0.0], [-0.20539800070027847, 0.0], [0.0, 0.0], [0.8946854387402868, 0.0], [0.0, 0.0], [0.26115757573357307, 0.0], [0.0, 0.0], [-0.11131913227060493, 0.0], [0.0, 0.0], [1.2963913973439902, 0.0], [0.0, 0.0], [-0.34892959493565184, 0.0], [0.0, 0.0], [-0.4638284621432916, 0.0], [0.0, 0.0], [1.243589062422995, 0.0], [0.0, 0.0], [0.8642631638907944, 0.0], [0.0, 0.0], [-0.8796111332286651, 0.0], [0.0, 0.0], [-1.7701008988353053, 0.0], [0.0, 0.0], [0.17331583739908998, 0.0], [0.0, 0.0]], 'angles': [None, -0.29188572396585327, -0.14286335972213238, -0.17887849851300075, -0.26895634315724304, -0.12220184183773947, -0.16299614137248508, -0.3073705638438492, None, -0.19557812184175807, -0.4059864857429945, -0.2131964405721451, -0.2846265546007665, -0.030343081561364796, -0.16403629405238507, -0.24204484162837067, -0.1043302083854808, -0.2164078305352094, -0.28713545532553686, -0.28715130253717425, -0.1664232875410197, -0.17618521396183323, -0.2588630753865857, -0.2872494354745477, -0.42293813961178145, -0.3184083109450965, -0.4746668237852105, -0.2986644920823847, -0.36960558776802444, -0.21302870466147564, -0.30267963590950214, -0.31527298369035683, -0.3156061492273879, -0.16281965834129286, -0.1869363905628797, -0.21312155978583372, -0.41598006519000924, -0.18563061436946846, -0.0707912319371284, -0.3329979934386124, -0.3678168910918389, -0.290590407900538, -0.28950063387420716, -0.26126459133271795, -0.14683410296784524, -0.2323615136731767, -0.23585059806715095, -0.3847798240019842, -0.1893998771398781, -0.2831368560702466, -0.15975763943243648, -0.29629150080168065, -0.3680002156933872, -0.3760753101872623, -0.14412932513196672, -0.12213068182658757, -0.08559946963126537, -0.2870960957527688, -0.39350405766002033, -0.17706463154779592, -0.1827816709155009, -0.23000777629283262, -0.25331191808437614, -0.35167985836674504, -0.40469047309030487, -0.32683831740058167, -0.3111092633584067, -0.21537900199041748, -0.30526313056025267, -0.33718516007818283, -0.2769590370580981, -0.1714234212396231, -0.20868486307649267, -0.3257103987430394, -0.27699178745818703, -0.25816041288931013, -0.11703531401474052, -0.3077440309447614, -0.3104155485463294, -0.11958171905548126, -0.24714839213540707, -0.12253309995375652, -0.31549196676922736, -0.10160993324920632, -0.28318867790657415, -0.30673453875717355, -0.07874887926591076, -0.18587404233861327, -0.27665986178771074, -0.18664812039394246, -0.12153932347122087, -0.1782463769252269, -0.3306754567485656, -0.08007697798086372, -0.34322163595831606, -0.1811943534189654, -0.14641456292664903, -0.23278989366008127, -0.1887535975990017, -0.30865379414621924], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': 2.53744449511962, 'hecke_orbit': 8, 'hecke_orbit_code': 31525197425148640, 'label': '736.2.a.h.1.2', 'level': 736, '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': [5, 7, 6, 4], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [3, 4, 4, 4], 'ALdims_old': [13, 20, 15, 19], 'Nk2': 2944, 'analytic_conductor': 5.876989588766237, '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': [736, 1, [415, 645, 97], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 89, 'dim': 22, 'eis_dim': 15, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 33555168, 'hecke_orbit_dims': [2, 2, 2, 2, 3, 3, 4, 4], 'label': '736.2.a', 'level': 736, '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, 23], 'level_radical': 46, 'mf_dim': 104, 'mf_new_dim': 22, 'num_forms': 8, 'plus_dim': 9, 'prim_orbit_index': 1, 'relative_dim': 22, 'sturm_bound': 192, 'trace_bound': 7, 'trace_display': [0, 0, 4, 0], 'traces': [22, 0, 0, 0, 4, 0, 0, 0, 30, 0, 0, 0, -12, 0, 0, 0, -4, 0, 0, 0, -16, 0, 0, 0, 26, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, -36, 0, 0, 0, 20, 0, 0, 0, 22, 0, 0, 0, 20, 0, 0, 0, -32, 0, 0, 0, 20, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 16, 0, 0, 0, 22, 0, 0, 0, 24, 0, 0, 0, -4, 0, 0, 0, -16, 0, 0, 0, -52, 0, 0, 0, 36, 0, 0, 0, 16, 0, 0, 0, -44, 0, 0, 0, 12, 0, 0, 0, 4, 0, 0, 0, -2, 0, 0, 0, 72, 0, 0, 0, 16, 0, 0, 0, -64, 0, 0, 0, -36, 0, 0, 0, -48, 0, 0, 0, -104, 0, 0, 0, -76, 0, 0, 0, -36, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, -54, 0, 0, 0, 84, 0, 0, 0, -64, 0, 0, 0, 4, 0, 0, 0, 40, 0, 0, 0, -96, 0, 0, 0, -20, 0, 0, 0, 84, 0, 0, 0, 16, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -64, 0, 0, 0, -24, 0, 0, 0, 130, 0, 0, 0, -60, 0, 0, 0, -20, 0, 0, 0, -112, 0, 0, 0, 76, 0, 0, 0, -44, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, -220, 0, 0, 0, -40, 0, 0, 0, 20, 0, 0, 0, 80, 0, 0, 0, 20, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, -78, 0, 0, 0, 36, 0, 0, 0, 64, 0, 0, 0, -64, 0, 0, 0, 24, 0, 0, 0, -144, 0, 0, 0, -84, 0, 0, 0, -12, 0, 0, 0, 16, 0, 0, 0, 28, 0, 0, 0, 128, 0, 0, 0, 132, 0, 0, 0, 28, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 28, 0, 0, 0, -48, 0, 0, 0, 94, 0, 0, 0, -24, 0, 0, 0, -4, 0, 0, 0, 116, 0, 0, 0, 24, 0, 0, 0, -80, 0, 0, 0, 48, 0, 0, 0, 180, 0, 0, 0, 80, 0, 0, 0, 20, 0, 0, 0, 124, 0, 0, 0, 84, 0, 0, 0, -148, 0, 0, 0, 160, 0, 0, 0, -48, 0, 0, 0, 52, 0, 0, 0, -108, 0, 0, 0, 144, 0, 0, 0, -164, 0, 0, 0, 0, 0, 0, 0, 46, 0, 0, 0, 168, 0, 0, 0, 108, 0, 0, 0, 192, 0, 0, 0, -116, 0, 0, 0, -108, 0, 0, 0, -176, 0, 0, 0, -80, 0, 0, 0, 32, 0, 0, 0, 212, 0, 0, 0, -72, 0, 0, 0, 152, 0, 0, 0, -32, 0, 0, 0, 152, 0, 0, 0, -48, 0, 0, 0, -96, 0, 0, 0, -24, 0, 0, 0, 36, 0, 0, 0, -208, 0, 0, 0, 16, 0, 0, 0, 76, 0, 0, 0, -320, 0, 0, 0, 22, 0, 0, 0, -88, 0, 0, 0, -112, 0, 0, 0, -12, 0, 0, 0, -40, 0, 0, 0, -156, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 112, 0, 0, 0, 56, 0, 0, 0, -164, 0, 0, 0, -160, 0, 0, 0, -20, 0, 0, 0, -208, 0, 0, 0, -376, 0, 0, 0, -16, 0, 0, 0, 188, 0, 0, 0, -160, 0, 0, 0, 108, 0, 0, 0, -268, 0, 0, 0, 224, 0, 0, 0, -44, 0, 0, 0, 188, 0, 0, 0, 0, 0, 0, 0, 14, 0, 0, 0, 120, 0, 0, 0, 32, 0, 0, 0, -188, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 132, 0, 0, 0, -228, 0, 0, 0, -140, 0, 0, 0, 160, 0, 0, 0, -16, 0, 0, 0, 28, 0, 0, 0, -268, 0, 0, 0, -64, 0, 0, 0, 200, 0, 0, 0, 8, 0, 0, 0, 192, 0, 0, 0, 232, 0, 0, 0, 180, 0, 0, 0, -16, 0, 0, 0, 100, 0, 0, 0, 16, 0, 0, 0, -160, 0, 0, 0, 112, 0, 0, 0, -212, 0, 0, 0, 222, 0, 0, 0, 52, 0, 0, 0, -144, 0, 0, 0, -16, 0, 0, 0, 88, 0, 0, 0, -192, 0, 0, 0, 176, 0, 0, 0, -12, 0, 0, 0, 60, 0, 0, 0, -88, 0, 0, 0, 236, 0, 0, 0, 52, 0, 0, 0, -176, 0, 0, 0, -32, 0, 0, 0, -168, 0, 0, 0, 368, 0, 0, 0, -72, 0, 0, 0, -172, 0, 0, 0, -36, 0, 0, 0, 32, 0, 0, 0, -20, 0, 0, 0, -64, 0, 0, 0, 128, 0, 0, 0, 164, 0, 0, 0, -368, 0, 0, 0, -12, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 202, 0, 0, 0, 140, 0, 0, 0, -112, 0, 0, 0, -28, 0, 0, 0, -148, 0, 0, 0, 384, 0, 0, 0, -88, 0, 0, 0, -160, 0, 0, 0, -100, 0, 0, 0, -236, 0, 0, 0, -292, 0, 0, 0, -448, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, -56, 0, 0, 0, 388, 0, 0, 0, -144, 0, 0, 0, 64, 0, 0, 0, 32, 0, 0, 0, -196, 0, 0, 0, 140, 0, 0, 0, 336, 0, 0, 0, 28, 0, 0, 0, -140, 0, 0, 0, -208, 0, 0, 0, 120, 0, 0, 0, -276, 0, 0, 0, 192, 0, 0, 0, 278, 0, 0, 0, -312, 0, 0, 0, 128, 0, 0, 0, -224, 0, 0, 0, 268, 0, 0, 0, 4, 0, 0, 0, 120, 0, 0, 0, -48, 0, 0, 0, -304, 0, 0, 0, -348, 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: 46041592
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 31525197425148640, 'source_is_minimal': True, 'source_label': '736.2.a.h.1.2', 'source_level': 736, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525197425148640, 'target_is_minimal': True, 'target_label': '736.2.a.h.1.2', 'target_level': 736, 'twist_class_label': '736.2.a.g.1.3', 'twist_class_level': 736, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46041593
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 31525197425148640, 'source_is_minimal': True, 'source_label': '736.2.a.h.1.2', 'source_level': 736, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 135107988854675936, 'target_is_minimal': False, 'target_label': '6624.2.a.be.1.2', 'target_level': 6624, 'twist_class_label': '736.2.a.g.1.3', 'twist_class_level': 736, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46041594
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 31525197425148640, 'source_is_minimal': True, 'source_label': '736.2.a.h.1.2', 'source_level': 736, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 27021597797778144, 'target_is_minimal': True, 'target_label': '736.2.a.g.1.3', 'target_level': 736, 'twist_class_label': '736.2.a.g.1.3', 'twist_class_level': 736, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46041595
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 31525197425148640, 'source_is_minimal': True, 'source_label': '736.2.a.h.1.2', 'source_level': 736, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 112589990717818304, 'target_is_minimal': False, 'target_label': '1472.2.a.z.1.2', 'target_level': 1472, 'twist_class_label': '736.2.a.g.1.3', 'twist_class_level': 736, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46041596
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 31525197425148640, 'source_is_minimal': True, 'source_label': '736.2.a.h.1.2', 'source_level': 736, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 108086391090447808, 'target_is_minimal': False, 'target_label': '1472.2.a.y.1.3', 'target_level': 1472, 'twist_class_label': '736.2.a.g.1.3', 'twist_class_level': 736, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46041597
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 31525197425148640, 'source_is_minimal': True, 'source_label': '736.2.a.h.1.2', 'source_level': 736, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 139611588482046432, 'target_is_minimal': False, 'target_label': '6624.2.a.bf.1.2', 'target_level': 6624, 'twist_class_label': '736.2.a.g.1.3', 'twist_class_level': 736, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1268225
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 31525197425148640, 'p': 2}
  • id: 1268226
    {'charpoly_factorization': [[[16, 12, -9, -2, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 3}
  • id: 1268227
    {'charpoly_factorization': [[[-24, 28, 2, -6, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 5}
  • id: 1268228
    {'charpoly_factorization': [[[32, -24, -10, 4, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 7}
  • id: 1268229
    {'charpoly_factorization': [[[8, 4, -10, -2, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 11}
  • id: 1268230
    {'charpoly_factorization': [[[4, 12, -19, -2, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 13}
  • id: 1268231
    {'charpoly_factorization': [[[24, 32, -10, -4, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 17}
  • id: 1268232
    {'charpoly_factorization': [[[-16, 56, -8, -6, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 19}
  • id: 1268233
    {'charpoly_factorization': [[[1, 1], 4]], 'hecke_orbit_code': 31525197425148640, 'p': 23}
  • id: 1268234
    {'charpoly_factorization': [[[-516, 416, -67, -6, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 29}
  • id: 1268235
    {'charpoly_factorization': [[[-192, -640, -97, 6, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 31}
  • id: 1268236
    {'charpoly_factorization': [[[-24, 28, 2, -6, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 37}
  • id: 1268237
    {'charpoly_factorization': [[[-612, 128, 69, -18, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 41}
  • id: 1268238
    {'charpoly_factorization': [[[64, -192, 132, -22, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 43}
  • id: 1268239
    {'charpoly_factorization': [[[-1968, -704, -9, 14, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 47}
  • id: 1268240
    {'charpoly_factorization': [[[-16, 56, -40, -10, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 53}
  • id: 1268241
    {'charpoly_factorization': [[[2176, 256, -184, 0, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 59}
  • id: 1268242
    {'charpoly_factorization': [[[-816, 488, -64, -6, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 61}
  • id: 1268243
    {'charpoly_factorization': [[[1544, 268, -74, -6, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 67}
  • id: 1268244
    {'charpoly_factorization': [[[2032, 200, -121, -6, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 71}
  • id: 1268245
    {'charpoly_factorization': [[[1436, -320, -107, 6, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 73}
  • id: 1268246
    {'charpoly_factorization': [[[-3776, -1008, -4, 16, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 79}
  • id: 1268247
    {'charpoly_factorization': [[[24, -28, -54, -2, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 83}
  • id: 1268248
    {'charpoly_factorization': [[[-1664, 384, 68, -20, 1], 1]], 'hecke_orbit_code': 31525197425148640, 'p': 89}
  • id: 1268249
    {'charpoly_factorization': [[[25976, -1296, -394, 4, 1], 1]], 'hecke_orbit_code': 31525197425148640, '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': 8, 'label': '736.2.a.h', 'level': 736, 'portrait': 'data:image/png;base64,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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: 47820277
    {'hecke_orbit_code': 31525197425148640, 'n': 1, 'trace_an': 4}
  • id: 47820278
    {'hecke_orbit_code': 31525197425148640, 'n': 2, 'trace_an': 0}
  • id: 47820279
    {'hecke_orbit_code': 31525197425148640, 'n': 3, 'trace_an': 2}
  • id: 47820280
    {'hecke_orbit_code': 31525197425148640, 'n': 4, 'trace_an': 0}
  • id: 47820281
    {'hecke_orbit_code': 31525197425148640, 'n': 5, 'trace_an': 6}
  • id: 47820282
    {'hecke_orbit_code': 31525197425148640, 'n': 6, 'trace_an': 0}
  • id: 47820283
    {'hecke_orbit_code': 31525197425148640, 'n': 7, 'trace_an': -4}
  • id: 47820284
    {'hecke_orbit_code': 31525197425148640, 'n': 8, 'trace_an': 0}
  • id: 47820285
    {'hecke_orbit_code': 31525197425148640, 'n': 9, 'trace_an': 10}
  • id: 47820286
    {'hecke_orbit_code': 31525197425148640, 'n': 10, 'trace_an': 0}
  • id: 47820287
    {'hecke_orbit_code': 31525197425148640, 'n': 11, 'trace_an': 2}
  • id: 47820288
    {'hecke_orbit_code': 31525197425148640, 'n': 12, 'trace_an': 0}
  • id: 47820289
    {'hecke_orbit_code': 31525197425148640, 'n': 13, 'trace_an': 2}
  • id: 47820290
    {'hecke_orbit_code': 31525197425148640, 'n': 14, 'trace_an': 0}
  • id: 47820291
    {'hecke_orbit_code': 31525197425148640, 'n': 15, 'trace_an': 4}
  • id: 47820292
    {'hecke_orbit_code': 31525197425148640, 'n': 16, 'trace_an': 0}
  • id: 47820293
    {'hecke_orbit_code': 31525197425148640, 'n': 17, 'trace_an': 4}
  • id: 47820294
    {'hecke_orbit_code': 31525197425148640, 'n': 18, 'trace_an': 0}
  • id: 47820295
    {'hecke_orbit_code': 31525197425148640, 'n': 19, 'trace_an': 6}
  • id: 47820296
    {'hecke_orbit_code': 31525197425148640, 'n': 20, 'trace_an': 0}
  • id: 47820297
    {'hecke_orbit_code': 31525197425148640, 'n': 21, 'trace_an': 4}
  • id: 47820298
    {'hecke_orbit_code': 31525197425148640, 'n': 22, 'trace_an': 0}
  • id: 47820299
    {'hecke_orbit_code': 31525197425148640, 'n': 23, 'trace_an': -4}
  • id: 47820300
    {'hecke_orbit_code': 31525197425148640, 'n': 24, 'trace_an': 0}
  • id: 47820301
    {'hecke_orbit_code': 31525197425148640, 'n': 25, 'trace_an': 12}
  • id: 47820302
    {'hecke_orbit_code': 31525197425148640, 'n': 26, 'trace_an': 0}
  • id: 47820303
    {'hecke_orbit_code': 31525197425148640, 'n': 27, 'trace_an': 14}
  • id: 47820304
    {'hecke_orbit_code': 31525197425148640, 'n': 28, 'trace_an': 0}
  • id: 47820305
    {'hecke_orbit_code': 31525197425148640, 'n': 29, 'trace_an': 6}
  • id: 47820306
    {'hecke_orbit_code': 31525197425148640, 'n': 30, 'trace_an': 0}
  • id: 47820307
    {'hecke_orbit_code': 31525197425148640, 'n': 31, 'trace_an': -6}
  • id: 47820308
    {'hecke_orbit_code': 31525197425148640, 'n': 32, 'trace_an': 0}
  • id: 47820309
    {'hecke_orbit_code': 31525197425148640, 'n': 33, 'trace_an': 0}
  • id: 47820310
    {'hecke_orbit_code': 31525197425148640, 'n': 34, 'trace_an': 0}
  • id: 47820311
    {'hecke_orbit_code': 31525197425148640, 'n': 35, 'trace_an': -12}
  • id: 47820312
    {'hecke_orbit_code': 31525197425148640, 'n': 36, 'trace_an': 0}
  • id: 47820313
    {'hecke_orbit_code': 31525197425148640, 'n': 37, 'trace_an': 6}
  • id: 47820314
    {'hecke_orbit_code': 31525197425148640, 'n': 38, 'trace_an': 0}
  • id: 47820315
    {'hecke_orbit_code': 31525197425148640, 'n': 39, 'trace_an': -14}
  • id: 47820316
    {'hecke_orbit_code': 31525197425148640, 'n': 40, 'trace_an': 0}
  • id: 47820317
    {'hecke_orbit_code': 31525197425148640, 'n': 41, 'trace_an': 18}
  • id: 47820318
    {'hecke_orbit_code': 31525197425148640, 'n': 42, 'trace_an': 0}
  • id: 47820319
    {'hecke_orbit_code': 31525197425148640, 'n': 43, 'trace_an': 22}
  • id: 47820320
    {'hecke_orbit_code': 31525197425148640, 'n': 44, 'trace_an': 0}
  • id: 47820321
    {'hecke_orbit_code': 31525197425148640, 'n': 45, 'trace_an': 22}
  • id: 47820322
    {'hecke_orbit_code': 31525197425148640, 'n': 46, 'trace_an': 0}
  • id: 47820323
    {'hecke_orbit_code': 31525197425148640, 'n': 47, 'trace_an': -14}
  • id: 47820324
    {'hecke_orbit_code': 31525197425148640, 'n': 48, 'trace_an': 0}
  • id: 47820325
    {'hecke_orbit_code': 31525197425148640, 'n': 49, 'trace_an': 8}
  • id: 47820326
    {'hecke_orbit_code': 31525197425148640, 'n': 50, 'trace_an': 0}
  • id: 47820327
    {'hecke_orbit_code': 31525197425148640, 'n': 51, 'trace_an': 8}
  • id: 47820328
    {'hecke_orbit_code': 31525197425148640, 'n': 52, 'trace_an': 0}
  • id: 47820329
    {'hecke_orbit_code': 31525197425148640, 'n': 53, 'trace_an': 10}
  • id: 47820330
    {'hecke_orbit_code': 31525197425148640, 'n': 54, 'trace_an': 0}
  • id: 47820331
    {'hecke_orbit_code': 31525197425148640, 'n': 55, 'trace_an': -20}
  • id: 47820332
    {'hecke_orbit_code': 31525197425148640, 'n': 56, 'trace_an': 0}
  • id: 47820333
    {'hecke_orbit_code': 31525197425148640, 'n': 57, 'trace_an': -4}
  • id: 47820334
    {'hecke_orbit_code': 31525197425148640, 'n': 58, 'trace_an': 0}
  • id: 47820335
    {'hecke_orbit_code': 31525197425148640, 'n': 59, 'trace_an': 0}
  • id: 47820336
    {'hecke_orbit_code': 31525197425148640, 'n': 60, 'trace_an': 0}
  • id: 47820337
    {'hecke_orbit_code': 31525197425148640, 'n': 61, 'trace_an': 6}
  • id: 47820338
    {'hecke_orbit_code': 31525197425148640, 'n': 62, 'trace_an': 0}
  • id: 47820339
    {'hecke_orbit_code': 31525197425148640, 'n': 63, 'trace_an': -36}
  • id: 47820340
    {'hecke_orbit_code': 31525197425148640, 'n': 64, 'trace_an': 0}
  • id: 47820341
    {'hecke_orbit_code': 31525197425148640, 'n': 65, 'trace_an': -4}
  • id: 47820342
    {'hecke_orbit_code': 31525197425148640, 'n': 66, 'trace_an': 0}
  • id: 47820343
    {'hecke_orbit_code': 31525197425148640, 'n': 67, 'trace_an': 6}
  • id: 47820344
    {'hecke_orbit_code': 31525197425148640, 'n': 68, 'trace_an': 0}
  • id: 47820345
    {'hecke_orbit_code': 31525197425148640, 'n': 69, 'trace_an': -2}
  • id: 47820346
    {'hecke_orbit_code': 31525197425148640, 'n': 70, 'trace_an': 0}
  • id: 47820347
    {'hecke_orbit_code': 31525197425148640, 'n': 71, 'trace_an': 6}
  • id: 47820348
    {'hecke_orbit_code': 31525197425148640, 'n': 72, 'trace_an': 0}
  • id: 47820349
    {'hecke_orbit_code': 31525197425148640, 'n': 73, 'trace_an': -6}
  • id: 47820350
    {'hecke_orbit_code': 31525197425148640, 'n': 74, 'trace_an': 0}
  • id: 47820351
    {'hecke_orbit_code': 31525197425148640, 'n': 75, 'trace_an': 50}
  • id: 47820352
    {'hecke_orbit_code': 31525197425148640, 'n': 76, 'trace_an': 0}
  • id: 47820353
    {'hecke_orbit_code': 31525197425148640, 'n': 77, 'trace_an': 4}
  • id: 47820354
    {'hecke_orbit_code': 31525197425148640, 'n': 78, 'trace_an': 0}
  • id: 47820355
    {'hecke_orbit_code': 31525197425148640, 'n': 79, 'trace_an': -16}
  • id: 47820356
    {'hecke_orbit_code': 31525197425148640, 'n': 80, 'trace_an': 0}
  • id: 47820357
    {'hecke_orbit_code': 31525197425148640, 'n': 81, 'trace_an': 0}
  • id: 47820358
    {'hecke_orbit_code': 31525197425148640, 'n': 82, 'trace_an': 0}
  • id: 47820359
    {'hecke_orbit_code': 31525197425148640, 'n': 83, 'trace_an': 2}
  • id: 47820360
    {'hecke_orbit_code': 31525197425148640, 'n': 84, 'trace_an': 0}
  • id: 47820361
    {'hecke_orbit_code': 31525197425148640, 'n': 85, 'trace_an': 0}
  • id: 47820362
    {'hecke_orbit_code': 31525197425148640, 'n': 86, 'trace_an': 0}
  • id: 47820363
    {'hecke_orbit_code': 31525197425148640, 'n': 87, 'trace_an': -14}
  • id: 47820364
    {'hecke_orbit_code': 31525197425148640, 'n': 88, 'trace_an': 0}
  • id: 47820365
    {'hecke_orbit_code': 31525197425148640, 'n': 89, 'trace_an': 20}
  • id: 47820366
    {'hecke_orbit_code': 31525197425148640, 'n': 90, 'trace_an': 0}
  • id: 47820367
    {'hecke_orbit_code': 31525197425148640, 'n': 91, 'trace_an': 24}
  • id: 47820368
    {'hecke_orbit_code': 31525197425148640, 'n': 92, 'trace_an': 0}
  • id: 47820369
    {'hecke_orbit_code': 31525197425148640, 'n': 93, 'trace_an': -38}
  • id: 47820370
    {'hecke_orbit_code': 31525197425148640, 'n': 94, 'trace_an': 0}
  • id: 47820371
    {'hecke_orbit_code': 31525197425148640, 'n': 95, 'trace_an': -8}
  • id: 47820372
    {'hecke_orbit_code': 31525197425148640, 'n': 96, 'trace_an': 0}
  • id: 47820373
    {'hecke_orbit_code': 31525197425148640, 'n': 97, 'trace_an': -4}
  • id: 47820374
    {'hecke_orbit_code': 31525197425148640, 'n': 98, 'trace_an': 0}
  • id: 47820375
    {'hecke_orbit_code': 31525197425148640, 'n': 99, 'trace_an': -2}
  • id: 47820376
    {'hecke_orbit_code': 31525197425148640, 'n': 100, 'trace_an': 0}