Embedded newform data - 6840.2.a.bm.1.1

Formats: - HTML - YAML - JSON - 2026-09-09T12:55:49.471382

• 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': 27360, 'analytic_conductor': 54.61767498255578, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [5, -1], [19, -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': [6840, 1, [1711, 3421, 5321, 2737, 6481], [1, 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': [[7, [16, -16, 1, 1]], [11, [-16, -28, 0, 1]], [13, [-86, 16, 11, 1]]], 'hecke_orbit': 39, 'hecke_orbit_code': 171136785873640120, 'hecke_ring_generator_nbound': 13, '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': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '6840.2.a.bm', 'level': 6840, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 19], 'level_radical': 570, 'minimal_twist': '760.2.a.i', 'nf_label': '3.3.316.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{5}+(-1+2\\beta _{1}-\\beta _{2})q^{7}-2\\beta _{2}q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '6840.2.a', 'trace_display': [0, 0, 3, -1], 'trace_hash': 1296089247564089584, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.058', 'prec': 7}, {'__RealLiteral__': 0, 'data': '2.862', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.444', 'prec': 10}, {'__RealLiteral__': 0, 'data': '22.363', 'prec': 17}, {'__RealLiteral__': 0, 'data': '6.638', 'prec': 14}, {'__RealLiteral__': 0, 'data': '276.014', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.009', 'prec': 4}, 'traces': [3, 0, 0, 0, 3, 0, -1, 0, 0, 0, 0, 0, -11, 0, 0, 0, 3, 0, 3, 0, 0, 0, 9, 0, 3, 0, 0, 0, 7, 0, 6, 0, 0, 0, -1, 0, -20, 0, 0, 0, 22, 0, -10, 0, 0, 0, 0, 0, 12, 0, 0, 0, 7, 0, 0, 0, 0, 0, -11, 0, -16, 0, 0, 0, -11, 0, -1, 0, 0, 0, 0, 0, -5, 0, 0, 0, 12, 0, 26, 0, 0, 0, 14, 0, 3, 0, 0, 0, 6, 0, 29, 0, 0, 0, 3, 0, 8, 0, 0, 0, 4, 0, 6, 0, 0, 0, 7, 0, 3, 0, 0, 0, 10, 0, 9, 0, 0, 0, 5, 0, 23, 0, 0, 0, 3, 0, 12, 0, 0, 0, 24, 0, -1, 0, 0, 0, -17, 0, 12, 0, 0, 0, 48, 0, 7, 0, 0, 0, -8, 0, 18, 0, 0, 0, 6, 0, -50, 0, 0, 0, 3, 0, 14, 0, 0, 0, 28, 0, 50, 0, 0, 0, -16, 0, -1, 0, 0, 0, -20, 0, -26, 0, 0, 0, -20, 0, 28, 0, 0, 0, 3, 0, -12, 0, 0, 0, -14, 0, 13, 0, 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0, 0, 82, 0, 25, 0, 0, 0, -14, 0, 12, 0, 0, 0, 220, 0, -47, 0, 0, 0, 178, 0, 226, 0, 0, 0, -18, 0, 38, 0, 0, 0, -18, 0, 110, 0, 0, 0, 10, 0, -276, 0, 0, 0, -8, 0, 4, 0, 0, 0, 50, 0, 10, 0, 0, 0, 65, 0, 36, 0, 0, 0, -40, 0, 132, 0, 0, 0, -14, 0, 19, 0, 0, 0, 142, 0, -118, 0, 0, 0, 144, 0, 18, 0, 0, 0, -60, 0, 9, 0, 0, 0, 92, 0, 78, 0, 0, 0, 61, 0, 156, 0, 0, 0, -266, 0, 88, 0, 0, 0, -1, 0, -114, 0, 0, 0, -158, 0, 22, 0, 0, 0, 150, 0, 0, 0, 0, 0, 0, 0, 11, 0, 0, 0, -22, 0, -164, 0, 0, 0, -13, 0, -48, 0, 0, 0, 214, 0, -6, 0, 0, 0, 127, 0, 30, 0, 0, 0, 6, 0, 155, 0, 0, 0, -227, 0, 90, 0, 0, 0, 13, 0, 0, 0, 0, 0, 125, 0, -2, 0, 0, 0, -67, 0, -24, 0, 0, 0, 5, 0, 102, 0, 0, 0, 124, 0, -50, 0, 0, 0, -80, 0, -180, 0, 0, 0, -246, 0, 62, 0, 0, 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], [0.0, 0.0], [0.0, 0.0], [0.4472135954999579, 0.0], [0.0, 0.0], [-1.858217562317575, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.17437519449845487, 0.0], [0.0, 0.0], [-1.7728061833546904, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.17240195088264423, 0.0], [0.0, 0.0], [0.22941573387056177, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5652474321448189, 0.0], [0.0, 0.0], [0.2, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.215115004163362, 0.0], [0.0, 0.0], [0.2553381958105654, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8310201572652098, 0.0], [0.0, 0.0], [-1.4964869997399617, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.7255445158799192, 0.0], [0.0, 0.0], [0.8894880343709826, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.16871827027656505, 0.0], [0.0, 0.0], [2.4529725089054706, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.8232667931262152, 0.0], [0.0, 0.0], [-0.07798295769765848, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.4824507625581869, 0.0], [0.0, 0.0], [-1.1585898387236386, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.7928230273826088, 0.0], [0.0, 0.0], [0.36287754128917044, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0986559288896398, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.3240270488495718, 0.0], [0.0, 0.0], [0.4919769741067395, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.040918688607392555, 0.0], [0.0, 0.0], [0.07710049632543448, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.7613614085061693, 0.0], [0.0, 0.0], [3.2942595844948768, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.10259783520851541, 0.0], [0.0, 0.0], [0.40066583787855714, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, None, None, -0.4397119826468891, -0.2638939780632105, -0.4234018996052707, -0.23626364112317377, None, -0.2043976142108485, -0.3539252867467729, -0.2296252247814387, -0.38455125738547324, -0.0843630790917515, -0.17664732715473044, -0.2365578509548487, -0.4325890550549943, -0.3828775114560726, -0.34833601747583465, -0.2209622907018468, -0.25, -0.3425581131413628, -0.2104437284526732, -0.24674356701248984, -0.07854281753708404, -0.21789881140061867, -0.20004674365310973, -0.18422658560439767, -0.14118546544796237, -0.34367505660063413, -0.12603161352180237, -0.1615862125700896, -0.1845031202409703, -0.3468891498376274, -0.22682306345435724, -0.22801096170959317, -0.08447647640777964, -0.32799023333590205, -0.344183470307585, -0.20329902102758274, -0.2746248831952552, -0.26758877020517874, -0.19152199030030914, -0.15241301316132372, -0.1550401421969682, -0.16907943521146138, -0.19882452187403027, -0.13066919820509487, -0.2583879173522105, -0.05941651221826742, -0.23699388577156819, -0.26648613574638125, -0.23583023416072416, -0.20382744301517022, -0.28192488554957745, -0.28930697516787757, -0.32033160463657184, -0.17982084857176378, -0.2697396691763168, -0.16945327500545687, -0.19447792978257822, -0.3617187398626706, -0.22237986844366828, -0.41112327597593856, -0.2481610128712304, -0.25152054191197887, -0.21046547844530805, -0.13613655260074464, -0.2941008964994879, -0.1811103586170711, -0.17360115065290363, -0.37893665150347305, -0.21965517220014877, -0.21159229219577638, -0.2863887048293075, -0.3038169873116101, -0.24331805717607616, -0.20151125401644776, -0.35354885472947767, -0.3331218314390742, -0.22763343969544028, -0.34333183272454154, -0.3568808579458277, -0.19609988943461715, -0.3750893282764425, -0.4042501327897683, -0.1554714913205968, -0.22171844084657838, -0.0709044736832554, -0.11629572669238762, -0.12298982509370857, -0.4544193502181549, -0.21357563495732398, -0.3239554395398614, -0.19064868667430773, -0.4176056398922239, -0.295108486896365, -0.34357731818053727, -0.19056293754302112, -0.16060542843039624, -0.19643569671228978], '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': -1.8136065026483308, 'hecke_orbit': 39, 'hecke_orbit_code': 171136785873640120, 'label': '6840.2.a.bm.1.1', 'level': 6840, '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': [4, 5, 5, 4, 6, 7, 6, 8, 5, 4, 4, 5, 7, 6, 8, 6], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], 'ALdims_old': [75, 91, 93, 76, 84, 81, 80, 80, 77, 92, 90, 75, 79, 82, 82, 82], 'Nk2': 27360, 'analytic_conductor': 54.61767498255578, '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': [6840, 1, [1711, 3421, 5321, 2737, 6481], [1, 1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1409, 'dim': 90, 'eis_dim': 63, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 13], 'hecke_orbit_code': 33561272, 'hecke_orbit_dims': [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, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 5, 5], 'label': '6840.2.a', 'level': 6840, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 19], 'level_radical': 570, 'mf_dim': 1472, 'mf_new_dim': 90, 'num_forms': 45, 'plus_dim': 42, 'prim_orbit_index': 1, 'relative_dim': 90, 'sturm_bound': 2880, 'trace_bound': 13, 'trace_display': [0, 0, 2, 0], 'traces': [90, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 90, 0, 0, 0, -12, 0, 8, 0, 0, 0, -12, 0, 0, 0, 0, 0, 4, 0, 28, 0, 0, 0, 36, 0, 78, 0, 0, 0, 16, 0, 8, 0, 0, 0, 16, 0, -4, 0, 0, 0, 0, 0, 8, 0, 0, 0, 8, 0, 0, 0, 0, 0, -48, 0, 32, 0, 0, 0, -60, 0, -4, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, -20, 0, 16, 0, 0, 0, 0, 0, -12, 0, 0, 0, 32, 0, 12, 0, 0, 0, -60, 0, 66, 0, 0, 0, 2, 0, -56, 0, 0, 0, 0, 0, -4, 0, 0, 0, -8, 0, -32, 0, 0, 0, 16, 0, -36, 0, 0, 0, -84, 0, 32, 0, 0, 0, -8, 0, -36, 0, 0, 0, -52, 0, 44, 0, 0, 0, 16, 0, -38, 0, 0, 0, 16, 0, 0, 0, 0, 0, -24, 0, 76, 0, 0, 0, -8, 0, 0, 0, 0, 0, 76, 0, -40, 0, 0, 0, 36, 0, -44, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -24, 0, 0, 0, 20, 0, -80, 0, 0, 0, 8, 0, 0, 0, 0, 0, -48, 0, 36, 0, 0, 0, 44, 0, 28, 0, 0, 0, 52, 0, 52, 0, 0, 0, 2, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -112, 0, 24, 0, 0, 0, 68, 0, 0, 0, 0, 0, 20, 0, -28, 0, 0, 0, 0, 0, 36, 0, 0, 0, 4, 0, 44, 0, 0, 0, 128, 0, 66, 0, 0, 0, 0, 0, -64, 0, 0, 0, 160, 0, 112, 0, 0, 0, 4, 0, 104, 0, 0, 0, 36, 0, 24, 0, 0, 0, -96, 0, 72, 0, 0, 0, -24, 0, 0, 0, 0, 0, -112, 0, 152, 0, 0, 0, 8, 0, 80, 0, 0, 0, 80, 0, -60, 0, 0, 0, -28, 0, -12, 0, 0, 0, 16, 0, 8, 0, 0, 0, -92, 0, 90, 0, 0, 0, 20, 0, -100, 0, 0, 0, 96, 0, 48, 0, 0, 0, 36, 0, 56, 0, 0, 0, 56, 0, 8, 0, 0, 0, -4, 0, -68, 0, 0, 0, -24, 0, -92, 0, 0, 0, 44, 0, 32, 0, 0, 0, -24, 0, -84, 0, 0, 0, -40, 0, 68, 0, 0, 0, 48, 0, -100, 0, 0, 0, 8, 0, 112, 0, 0, 0, 80, 0, -8, 0, 0, 0, 20, 0, 16, 0, 0, 0, 108, 0, -12, 0, 0, 0, 52, 0, -80, 0, 0, 0, 0, 0, -72, 0, 0, 0, 100, 0, 44, 0, 0, 0, -164, 0, 168, 0, 0, 0, -32, 0, 0, 0, 0, 0, -104, 0, 48, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, -64, 0, 0, 0, 112, 0, -8, 0, 0, 0, -64, 0, -68, 0, 0, 0, 12, 0, 148, 0, 0, 0, 64, 0, -16, 0, 0, 0, 116, 0, -120, 0, 0, 0, 160, 0, 14, 0, 0, 0, -104, 0, -32, 0, 0, 0, 16, 0, 20, 0, 0, 0, 12, 0, 32, 0, 0, 0, -4, 0, 24, 0, 0, 0, -132, 0, -88, 0, 0, 0, 0, 0, 56, 0, 0, 0, 84, 0, 104, 0, 0, 0, 0, 0, -112, 0, 0, 0, 8, 0, -80, 0, 0, 0, -180, 0, -24, 0, 0, 0, 188, 0, -32, 0, 0, 0, 208, 0, -140, 0, 0, 0, 10, 0, -72, 0, 0, 0, -168, 0, 108, 0, 0, 0, 36, 0, 0, 0, 0, 0, -104, 0, 90, 0, 0, 0, 112, 0, -24, 0, 0, 0, 56, 0, 312, 0, 0, 0, -44, 0, -12, 0, 0, 0, 88, 0, 56, 0, 0, 0, 204, 0, -40, 0, 0, 0, 64, 0, 12, 0, 0, 0, 12, 0, -32, 0, 0, 0, 0, 0, -104, 0, 0, 0, 112, 0, -96, 0, 0, 0, 32, 0, 28, 0, 0, 0, 84, 0, -64, 0, 0, 0, 24, 0, -32, 0, 0, 0, 220, 0, -36, 0, 0, 0, -72, 0, -28, 0, 0, 0, -144, 0, 104, 0, 0, 0, 108, 0, -40, 0, 0, 0, -12, 0, -144, 0, 0, 0, -264, 0, 204, 0, 0, 0, 48, 0, -8, 0, 0, 0, 72, 0, 20, 0, 0, 0, -24, 0, 136, 0, 0, 0, 48, 0, -140, 0, 0, 0, 160, 0, 192, 0, 0, 0, -28, 0, 0, 0, 0, 0, -176, 0, 8, 0, 0, 0, -16, 0, 64, 0, 0, 0, -36, 0, 8, 0, 0, 0, -88, 0, 24, 0, 0, 0, -32, 0, 8, 0, 0, 0, -160, 0, -64, 0, 0, 0, -136, 0, 112, 0, 0, 0, 4, 0, -12, 0, 0, 0, 84, 0, -64, 0, 0, 0, 96, 0, -92, 0, 0, 0, 52, 0, -32, 0, 0, 0, -128, 0, -118, 0, 0, 0, -2, 0, 64, 0, 0, 0, -88, 0, -148, 0, 0, 0, -32, 0, -64, 0, 0, 0, 104, 0, -24, 0, 0, 0, -96, 0, -12, 0, 0, 0, -12, 0, -96, 0, 0, 0, 68, 0, -52, 0, 0, 0, 232, 0, -88, 0, 0, 0, 52, 0, -88, 0, 0, 0, 160, 0, 8, 0, 0, 0, -44, 0, -336, 0, 0, 0, -88, 0, 32, 0, 0, 0, 152, 0, -148, 0, 0, 0, -200, 0, 0, 0, 0, 0, 168, 0, 16, 0, 0, 0, -8, 0, -16, 0, 0, 0, -212, 0, 128, 0, 0, 0, -164, 0, -232, 0, 0, 0, -232, 0, -8, 0, 0, 0, -108, 0, 106, 0, 0, 0, 48, 0, 84, 0, 0, 0, 40, 0, -40, 0, 0, 0, 24, 0, -48, 0, 0, 0, 8, 0, 28, 0, 0, 0, -176, 0, 208, 0, 0, 0, -48, 0, -180, 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: 48908631
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 171136785873640120, 'source_is_minimal': False, 'source_label': '6840.2.a.bm.1.1', 'source_level': 6840, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 171136785873640120, 'target_is_minimal': False, 'target_label': '6840.2.a.bm.1.1', 'target_level': 6840, 'twist_class_label': '760.2.a.i.1.3', 'twist_class_level': 760, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48908632
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 171136785873640120, 'source_is_minimal': False, 'source_label': '6840.2.a.bm.1.1', 'source_level': 6840, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36028797052519160, 'target_is_minimal': True, 'target_label': '760.2.a.i.1.3', 'target_level': 760, 'twist_class_label': '760.2.a.i.1.3', 'twist_class_level': 760, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48908633
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 171136785873640120, 'source_is_minimal': False, 'source_label': '6840.2.a.bm.1.1', 'source_level': 6840, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 72057594071483888, 'target_is_minimal': False, 'target_label': '1520.2.a.q.1.1', 'target_level': 1520, 'twist_class_label': '760.2.a.i.1.3', 'twist_class_level': 760, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48908634
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 171136785873640120, 'source_is_minimal': False, 'source_label': '6840.2.a.bm.1.1', 'source_level': 6840, 'target_conrey_index': 3649, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 58547001347804888, 'target_is_minimal': False, 'target_label': '3800.2.d.n.3649.2', 'target_level': 3800, 'twist_class_label': '760.2.a.i.1.3', 'twist_class_level': 760, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48908635
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 171136785873640120, 'source_is_minimal': False, 'source_label': '6840.2.a.bm.1.1', 'source_level': 6840, 'target_conrey_index': 3649, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 58547001347804888, 'target_is_minimal': False, 'target_label': '3800.2.d.n.3649.5', 'target_level': 3800, 'twist_class_label': '760.2.a.i.1.3', 'twist_class_level': 760, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 48908636
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 171136785873640120, 'source_is_minimal': False, 'source_label': '6840.2.a.bm.1.1', 'source_level': 6840, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 99079191835709144, 'target_is_minimal': False, 'target_label': '3800.2.a.w.1.1', 'target_level': 3800, 'twist_class_label': '760.2.a.i.1.3', 'twist_class_level': 760, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 48908637
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 171136785873640120, 'source_is_minimal': False, 'source_label': '6840.2.a.bm.1.1', 'source_level': 6840, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 220676381774714816, 'target_is_minimal': False, 'target_label': '6080.2.a.bx.1.1', 'target_level': 6080, 'twist_class_label': '760.2.a.i.1.3', 'twist_class_level': 760, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 48908638
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 171136785873640120, 'source_is_minimal': False, 'source_label': '6840.2.a.bm.1.1', 'source_level': 6840, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 193654784010491840, 'target_is_minimal': False, 'target_label': '6080.2.a.br.1.3', 'target_level': 6080, 'twist_class_label': '760.2.a.i.1.3', 'twist_class_level': 760, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48908639
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 171136785873640120, 'source_is_minimal': False, 'source_label': '6840.2.a.bm.1.1', 'source_level': 6840, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 184647584755752368, 'target_is_minimal': False, 'target_label': '7600.2.a.bp.1.3', 'target_level': 7600, 'twist_class_label': '760.2.a.i.1.3', 'twist_class_level': 760, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4303950
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 171136785873640120, 'p': 2}
  • id: 4303951
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 171136785873640120, 'p': 3}
  • id: 4303952
    {'charpoly_factorization': [[[-1, 1], 3]], 'hecke_orbit_code': 171136785873640120, 'p': 5}
  • id: 4303953
    {'charpoly_factorization': [[[16, -16, 1, 1], 1]], 'hecke_orbit_code': 171136785873640120, 'p': 7}
  • id: 4303954
    {'charpoly_factorization': [[[-16, -28, 0, 1], 1]], 'hecke_orbit_code': 171136785873640120, 'p': 11}
  • id: 4303955
    {'charpoly_factorization': [[[-86, 16, 11, 1], 1]], 'hecke_orbit_code': 171136785873640120, 'p': 13}
  • id: 4303956
    {'charpoly_factorization': [[[4, -4, -3, 1], 1]], 'hecke_orbit_code': 171136785873640120, 'p': 17}
  • id: 4303957
    {'charpoly_factorization': [[[-1, 1], 3]], 'hecke_orbit_code': 171136785873640120, 'p': 19}
  • id: 4303958
    {'charpoly_factorization': [[[-8, 20, -9, 1], 1]], 'hecke_orbit_code': 171136785873640120, 'p': 23}
  • id: 4303959
    {'charpoly_factorization': [[[292, -44, -7, 1], 1]], 'hecke_orbit_code': 171136785873640120, 'p': 29}
  • id: 4303960
    {'charpoly_factorization': [[[32, -16, -6, 1], 1]], 'hecke_orbit_code': 171136785873640120, 'p': 31}
  • id: 4303961
    {'charpoly_factorization': [[[244, 126, 20, 1], 1]], 'hecke_orbit_code': 171136785873640120, 'p': 37}
  • id: 4303962
    {'charpoly_factorization': [[[232, 100, -22, 1], 1]], 'hecke_orbit_code': 171136785873640120, 'p': 41}
  • id: 4303963
    {'charpoly_factorization': [[[-352, -32, 10, 1], 1]], 'hecke_orbit_code': 171136785873640120, 'p': 43}
  • id: 4303964
    {'charpoly_factorization': [[[128, -112, 0, 1], 1]], 'hecke_orbit_code': 171136785873640120, 'p': 47}
  • id: 4303965
    {'charpoly_factorization': [[[1342, -168, -7, 1], 1]], 'hecke_orbit_code': 171136785873640120, 'p': 53}
  • id: 4303966
    {'charpoly_factorization': [[[-1544, -140, 11, 1], 1]], 'hecke_orbit_code': 171136785873640120, 'p': 59}
  • id: 4303967
    {'charpoly_factorization': [[[-352, 24, 16, 1], 1]], 'hecke_orbit_code': 171136785873640120, 'p': 61}
  • id: 4303968
    {'charpoly_factorization': [[[262, -100, 1, 1], 1]], 'hecke_orbit_code': 171136785873640120, 'p': 67}
  • id: 4303969
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 171136785873640120, 'p': 71}
  • id: 4303970
    {'charpoly_factorization': [[[-1228, -172, 5, 1], 1]], 'hecke_orbit_code': 171136785873640120, 'p': 73}
  • id: 4303971
    {'charpoly_factorization': [[[-496, 208, -26, 1], 1]], 'hecke_orbit_code': 171136785873640120, 'p': 79}
  • id: 4303972
    {'charpoly_factorization': [[[-16, 48, -14, 1], 1]], 'hecke_orbit_code': 171136785873640120, 'p': 83}
  • id: 4303973
    {'charpoly_factorization': [[[1256, -252, -6, 1], 1]], 'hecke_orbit_code': 171136785873640120, 'p': 89}
  • id: 4303974
    {'charpoly_factorization': [[[292, -58, -8, 1], 1]], 'hecke_orbit_code': 171136785873640120, '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': 39, 'label': '6840.2.a.bm', 'level': 6840, '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: 70304719
    {'hecke_orbit_code': 171136785873640120, 'n': 1, 'trace_an': 3}
  • id: 70304720
    {'hecke_orbit_code': 171136785873640120, 'n': 2, 'trace_an': 0}
  • id: 70304721
    {'hecke_orbit_code': 171136785873640120, 'n': 3, 'trace_an': 0}
  • id: 70304722
    {'hecke_orbit_code': 171136785873640120, 'n': 4, 'trace_an': 0}
  • id: 70304723
    {'hecke_orbit_code': 171136785873640120, 'n': 5, 'trace_an': 3}
  • id: 70304724
    {'hecke_orbit_code': 171136785873640120, 'n': 6, 'trace_an': 0}
  • id: 70304725
    {'hecke_orbit_code': 171136785873640120, 'n': 7, 'trace_an': -1}
  • id: 70304726
    {'hecke_orbit_code': 171136785873640120, 'n': 8, 'trace_an': 0}
  • id: 70304727
    {'hecke_orbit_code': 171136785873640120, 'n': 9, 'trace_an': 0}
  • id: 70304728
    {'hecke_orbit_code': 171136785873640120, 'n': 10, 'trace_an': 0}
  • id: 70304729
    {'hecke_orbit_code': 171136785873640120, 'n': 11, 'trace_an': 0}
  • id: 70304730
    {'hecke_orbit_code': 171136785873640120, 'n': 12, 'trace_an': 0}
  • id: 70304731
    {'hecke_orbit_code': 171136785873640120, 'n': 13, 'trace_an': -11}
  • id: 70304732
    {'hecke_orbit_code': 171136785873640120, 'n': 14, 'trace_an': 0}
  • id: 70304733
    {'hecke_orbit_code': 171136785873640120, 'n': 15, 'trace_an': 0}
  • id: 70304734
    {'hecke_orbit_code': 171136785873640120, 'n': 16, 'trace_an': 0}
  • id: 70304735
    {'hecke_orbit_code': 171136785873640120, 'n': 17, 'trace_an': 3}
  • id: 70304736
    {'hecke_orbit_code': 171136785873640120, 'n': 18, 'trace_an': 0}
  • id: 70304737
    {'hecke_orbit_code': 171136785873640120, 'n': 19, 'trace_an': 3}
  • id: 70304738
    {'hecke_orbit_code': 171136785873640120, 'n': 20, 'trace_an': 0}
  • id: 70304739
    {'hecke_orbit_code': 171136785873640120, 'n': 21, 'trace_an': 0}
  • id: 70304740
    {'hecke_orbit_code': 171136785873640120, 'n': 22, 'trace_an': 0}
  • id: 70304741
    {'hecke_orbit_code': 171136785873640120, 'n': 23, 'trace_an': 9}
  • id: 70304742
    {'hecke_orbit_code': 171136785873640120, 'n': 24, 'trace_an': 0}
  • id: 70304743
    {'hecke_orbit_code': 171136785873640120, 'n': 25, 'trace_an': 3}
  • id: 70304744
    {'hecke_orbit_code': 171136785873640120, 'n': 26, 'trace_an': 0}
  • id: 70304745
    {'hecke_orbit_code': 171136785873640120, 'n': 27, 'trace_an': 0}
  • id: 70304746
    {'hecke_orbit_code': 171136785873640120, 'n': 28, 'trace_an': 0}
  • id: 70304747
    {'hecke_orbit_code': 171136785873640120, 'n': 29, 'trace_an': 7}
  • id: 70304748
    {'hecke_orbit_code': 171136785873640120, 'n': 30, 'trace_an': 0}
  • id: 70304749
    {'hecke_orbit_code': 171136785873640120, 'n': 31, 'trace_an': 6}
  • id: 70304750
    {'hecke_orbit_code': 171136785873640120, 'n': 32, 'trace_an': 0}
  • id: 70304751
    {'hecke_orbit_code': 171136785873640120, 'n': 33, 'trace_an': 0}
  • id: 70304752
    {'hecke_orbit_code': 171136785873640120, 'n': 34, 'trace_an': 0}
  • id: 70304753
    {'hecke_orbit_code': 171136785873640120, 'n': 35, 'trace_an': -1}
  • id: 70304754
    {'hecke_orbit_code': 171136785873640120, 'n': 36, 'trace_an': 0}
  • id: 70304755
    {'hecke_orbit_code': 171136785873640120, 'n': 37, 'trace_an': -20}
  • id: 70304756
    {'hecke_orbit_code': 171136785873640120, 'n': 38, 'trace_an': 0}
  • id: 70304757
    {'hecke_orbit_code': 171136785873640120, 'n': 39, 'trace_an': 0}
  • id: 70304758
    {'hecke_orbit_code': 171136785873640120, 'n': 40, 'trace_an': 0}
  • id: 70304759
    {'hecke_orbit_code': 171136785873640120, 'n': 41, 'trace_an': 22}
  • id: 70304760
    {'hecke_orbit_code': 171136785873640120, 'n': 42, 'trace_an': 0}
  • id: 70304761
    {'hecke_orbit_code': 171136785873640120, 'n': 43, 'trace_an': -10}
  • id: 70304762
    {'hecke_orbit_code': 171136785873640120, 'n': 44, 'trace_an': 0}
  • id: 70304763
    {'hecke_orbit_code': 171136785873640120, 'n': 45, 'trace_an': 0}
  • id: 70304764
    {'hecke_orbit_code': 171136785873640120, 'n': 46, 'trace_an': 0}
  • id: 70304765
    {'hecke_orbit_code': 171136785873640120, 'n': 47, 'trace_an': 0}
  • id: 70304766
    {'hecke_orbit_code': 171136785873640120, 'n': 48, 'trace_an': 0}
  • id: 70304767
    {'hecke_orbit_code': 171136785873640120, 'n': 49, 'trace_an': 12}
  • id: 70304768
    {'hecke_orbit_code': 171136785873640120, 'n': 50, 'trace_an': 0}
  • id: 70304769
    {'hecke_orbit_code': 171136785873640120, 'n': 51, 'trace_an': 0}
  • id: 70304770
    {'hecke_orbit_code': 171136785873640120, 'n': 52, 'trace_an': 0}
  • id: 70304771
    {'hecke_orbit_code': 171136785873640120, 'n': 53, 'trace_an': 7}
  • id: 70304772
    {'hecke_orbit_code': 171136785873640120, 'n': 54, 'trace_an': 0}
  • id: 70304773
    {'hecke_orbit_code': 171136785873640120, 'n': 55, 'trace_an': 0}
  • id: 70304774
    {'hecke_orbit_code': 171136785873640120, 'n': 56, 'trace_an': 0}
  • id: 70304775
    {'hecke_orbit_code': 171136785873640120, 'n': 57, 'trace_an': 0}
  • id: 70304776
    {'hecke_orbit_code': 171136785873640120, 'n': 58, 'trace_an': 0}
  • id: 70304777
    {'hecke_orbit_code': 171136785873640120, 'n': 59, 'trace_an': -11}
  • id: 70304778
    {'hecke_orbit_code': 171136785873640120, 'n': 60, 'trace_an': 0}
  • id: 70304779
    {'hecke_orbit_code': 171136785873640120, 'n': 61, 'trace_an': -16}
  • id: 70304780
    {'hecke_orbit_code': 171136785873640120, 'n': 62, 'trace_an': 0}
  • id: 70304781
    {'hecke_orbit_code': 171136785873640120, 'n': 63, 'trace_an': 0}
  • id: 70304782
    {'hecke_orbit_code': 171136785873640120, 'n': 64, 'trace_an': 0}
  • id: 70304783
    {'hecke_orbit_code': 171136785873640120, 'n': 65, 'trace_an': -11}
  • id: 70304784
    {'hecke_orbit_code': 171136785873640120, 'n': 66, 'trace_an': 0}
  • id: 70304785
    {'hecke_orbit_code': 171136785873640120, 'n': 67, 'trace_an': -1}
  • id: 70304786
    {'hecke_orbit_code': 171136785873640120, 'n': 68, 'trace_an': 0}
  • id: 70304787
    {'hecke_orbit_code': 171136785873640120, 'n': 69, 'trace_an': 0}
  • id: 70304788
    {'hecke_orbit_code': 171136785873640120, 'n': 70, 'trace_an': 0}
  • id: 70304789
    {'hecke_orbit_code': 171136785873640120, 'n': 71, 'trace_an': 0}
  • id: 70304790
    {'hecke_orbit_code': 171136785873640120, 'n': 72, 'trace_an': 0}
  • id: 70304791
    {'hecke_orbit_code': 171136785873640120, 'n': 73, 'trace_an': -5}
  • id: 70304792
    {'hecke_orbit_code': 171136785873640120, 'n': 74, 'trace_an': 0}
  • id: 70304793
    {'hecke_orbit_code': 171136785873640120, 'n': 75, 'trace_an': 0}
  • id: 70304794
    {'hecke_orbit_code': 171136785873640120, 'n': 76, 'trace_an': 0}
  • id: 70304795
    {'hecke_orbit_code': 171136785873640120, 'n': 77, 'trace_an': 12}
  • id: 70304796
    {'hecke_orbit_code': 171136785873640120, 'n': 78, 'trace_an': 0}
  • id: 70304797
    {'hecke_orbit_code': 171136785873640120, 'n': 79, 'trace_an': 26}
  • id: 70304798
    {'hecke_orbit_code': 171136785873640120, 'n': 80, 'trace_an': 0}
  • id: 70304799
    {'hecke_orbit_code': 171136785873640120, 'n': 81, 'trace_an': 0}
  • id: 70304800
    {'hecke_orbit_code': 171136785873640120, 'n': 82, 'trace_an': 0}
  • id: 70304801
    {'hecke_orbit_code': 171136785873640120, 'n': 83, 'trace_an': 14}
  • id: 70304802
    {'hecke_orbit_code': 171136785873640120, 'n': 84, 'trace_an': 0}
  • id: 70304803
    {'hecke_orbit_code': 171136785873640120, 'n': 85, 'trace_an': 3}
  • id: 70304804
    {'hecke_orbit_code': 171136785873640120, 'n': 86, 'trace_an': 0}
  • id: 70304805
    {'hecke_orbit_code': 171136785873640120, 'n': 87, 'trace_an': 0}
  • id: 70304806
    {'hecke_orbit_code': 171136785873640120, 'n': 88, 'trace_an': 0}
  • id: 70304807
    {'hecke_orbit_code': 171136785873640120, 'n': 89, 'trace_an': 6}
  • id: 70304808
    {'hecke_orbit_code': 171136785873640120, 'n': 90, 'trace_an': 0}
  • id: 70304809
    {'hecke_orbit_code': 171136785873640120, 'n': 91, 'trace_an': 29}
  • id: 70304810
    {'hecke_orbit_code': 171136785873640120, 'n': 92, 'trace_an': 0}
  • id: 70304811
    {'hecke_orbit_code': 171136785873640120, 'n': 93, 'trace_an': 0}
  • id: 70304812
    {'hecke_orbit_code': 171136785873640120, 'n': 94, 'trace_an': 0}
  • id: 70304813
    {'hecke_orbit_code': 171136785873640120, 'n': 95, 'trace_an': 3}
  • id: 70304814
    {'hecke_orbit_code': 171136785873640120, 'n': 96, 'trace_an': 0}
  • id: 70304815
    {'hecke_orbit_code': 171136785873640120, 'n': 97, 'trace_an': 8}
  • id: 70304816
    {'hecke_orbit_code': 171136785873640120, 'n': 98, 'trace_an': 0}
  • id: 70304817
    {'hecke_orbit_code': 171136785873640120, 'n': 99, 'trace_an': 0}
  • id: 70304818
    {'hecke_orbit_code': 171136785873640120, 'n': 100, 'trace_an': 0}