Newform data - 60.4.h.c

Formats: - HTML - YAML - JSON - 2026-07-26T14:10:10.048094

• 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': 960, 'analytic_conductor': 3.540114600344437, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 60, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': 1, 'char_values': [60, 2, [31, 41, 37], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 59, 'dim': 24, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [-4313088, 0, 120448, 0, -866, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007680358187068, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 4, 2, -1, 2, 0], [1, 1, 5, 2, 1, 2, 0], [1, 1, 12, 2, 1, 2, 0], [1, 1, 15, 4, -1, 2, 0], [1, 1, 20, 4, -1, 2, 0], [1, 1, 60, 8, 1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '60.4.h.c', 'level': 60, '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], 'level_radical': 30, 'minimal_twist': '60.4.h.c', 'prim_orbit_index': 8, 'related_objects': [], 'relative_dim': 24, 'rm_discs': [], 'sato_tate_group': '3.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '60.4.h', 'trace_display': [0, 0, 0, 0], 'traces': [24, 0, 0, 56, 0, 12, 0, 0, 192, -32, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, -264, 0, 0, 168, -88, 0, 0, 0, 0, -252, 0, 0, 0, -1088, 0, -1104, 0, 0, 0, 704, 0, 0, 0, 0, 456, 3368, 0, 0, -1304, 0, 0, 0, 0, 468, 0, 0, 0, 0, 0, 2496, 2080, 0, 0, 1376, 0, -672, 0, 0, 2568, -2632, 0, 0, 0, 0, 0, -1536, 0, 0, 0, 0, -5112, 0, 0, -2328, -6944, 0, 0, 0, 0, -1152, 0, 0, 0, -4840, 0, -2832, 0, 0, 0, -4248, 0, 0, 0, 0, 7800, 5888, 0, 0, 4320, 0, 0, 0, 0, 7776, 0, 0, 0, 0, 0, 7800, 11448, 0, 0, 4800, 0, -10392, 0, 0, -456, 7488, 0, 0, 0, 0, 0, 8192, 0, 0, 0, 0, -12552, 0, 0, -11040, 32, 0, 0, 0, 0, 2916, 0, 0, 0, -19008, 0, 5376, 0, 0, 0, -21632, 0, 0, 0, 0, -1344, 968, 0, 0, -20616, 0, 0, 0, 0, 23952, 0, 0, 0, 0, 0, 11544, 4912, 0, 0, 15536, 0, -18816, 0, 0, 13176, 16896, 0, 0, 0, 0, 0, 4904, 0, 0, 0, 0, -11352, 0, 0, -20160, -13456, 0, 0, 0, 0, -25824, 0, 0, 0, -18808, 0, 15768, 0, 0, 0, -24384, 0, 0, 0, 0, 11424, 8704, 0, 0, 24592, 0, 0, 0, 0, 52992, 0, 0, 0, 0, 0, 18240, 26112, 0, 0, 37632, 0, -13848, 0, 0, -12696, 29792, 0, 0, 0, 0, 0, -25536, 0, 0, 0, 0, 17184, 0, 0, -65088, 21728, 0, 0, 0, 0, -30204, 0, 0, 0, -64000, 0, 16440, 0, 0, 0, -20464, 0, 0, 0, 0, -19296, 25728, 0, 0, -46808, 0, 0, 0, 0, 21636, 0, 0, 0, 0, 0, 54336, -71408, 0, 0, 92544, 0, -15552, 0, 0, -10392, 20352, 0, 0, 0, 0, 0, -69312, 0, 0, 0, 0, 30888, 0, 0, -77688, 21888, 0, 0, 0, 0, -64416, 0, 0, 0, -63016, 0, 32880, 0, 0, 0, -34624, 0, 0, 0, 0, 9912, 56896, 0, 0, 67056, 0, 0, 0, 0, 118752, 0, 0, 0, 0, 0, 46080, -9912, 0, 0, 135936, 0, 23712, 0, 0, -15792, 87552, 0, 0, 0, 0, 0, -69424, 0, 0, 0, 0, 55368, 0, 0, -78432, -29952, 0, 0, 0, 0, -86208, 0, 0, 0, -133888, 0, 57024, 0, 0, 0, -47056, 0, 0, 0, 0, -55584, 17248, 0, 0, 15168, 0, 0, 0, 0, 67632, 0, 0, 0, 0, 0, 41832, -55392, 0, 0, 93184, 0, -61056, 0, 0, -13440, 62840, 0, 0, 0, 0, 0, -97472, 0, 0, 0, 0, -34272, 0, 0, -171072, 76736, 0, 0, 0, 0, -110016, 0, 0, 0, -87976, 0, 74304, 0, 0, 0, -59904, 0, 0, 0, 0, -18336, 39488, 0, 0, -61136, 0, 0, 0, 0, 153024, 0, 0, 0, 0, 0, 99792, 56448, 0, 0, 104408, 0, -30780, 0, 0, 45960, 117152, 0, 0, 0, 0, 0, 25344, 0, 0, 0, 0, 117048, 0, 0, -155472, 33440, 0, 0, 0, 0, -29952, 0, 0, 0, -220672, 0, 89064, 0, 0, 0, -127488, 0, 0, 0, 0, -46104, -24184, 0, 0, 80920, 0, 0, 0, 0, 177504, 0, 0, 0, 0, 0, 87552, -89648, 0, 0, 136192, 0, -87168, 0, 0, -81696, 142464, 0, 0, 0, 0, 0, 9984, 0, 0, 0, 0, -114048, 0, 0, -100344, -9248, 0, 0, 0, 0, -128160, 0, 0, 0, -42704, 0, 81984, 0, 0, 0, -112864, 0, 0, 0, 0, 81792, 59200, 0, 0, 51648, 0, 0, 0, 0, 209376, 0, 0, 0, 0, 0, 58872, -8960, 0, 0, 131904, 0, -105840, 0, 0, 78432, 126976, 0, 0, 0, 0, 0, -135552, 0, 0, 0, 0, 47736, 0, 0, -217344, -238632, 0, 0, 0, 0, -40368, 0, 0, 0, -185216, 0, 8640, 0, 0, 0, -140032, 0, 0, 0, 0, -18504, 12672, 0, 0, -81024, 0, 0, 0, 0, 34752, 0, 0, 0, 0, 0, 124800, 67552, 0, 0, 238064, 0, -60480, 0, 0, -67080, -14488, 0, 0, 0, 0, 0, 79256, 0, 0, 0, 0, -259464, 0, 0, -161856, 232160, 0, 0, 0, 0, -62880, 0, 0, 0, -188392, 0, 78432, 0, 0, 0, -152448, 0, 0, 0, 0, 121224, 183296, 0, 0, -38480, 0, 0, 0, 0, 195840, 0, 0, 0, 0, 0, 153744, 346672, 0, 0, 158640, 0, -87780, 0, 0, 172800, 147648, 0, 0, 0, 0, 0, -46048, 0, 0, 0, 0, 236160, 0, 0, -52992, -193552, 0, 0, 0, 0, -67188, 0, 0, 0, -134016, 0, -54936, 0, 0, 0, -13056, 0, 0, 0, 0, -288, 216248, 0, 0, 5136, 0, 0, 0, 0, 107112, 0, 0, 0, 0, 0, 100608, -249600, 0, 0, -117584, 0, -81120, 0, 0, -129432, -76800, 0, 0, 0, 0, 0, -139968, 0, 0, 0, 0, -234816, 0, 0, -82248, 27664, 0, 0, 0, 0, -121824, 0, 0, 0, -167040, 0, -172800, 0, 0, 0, 17360, 0, 0, 0, 0, 157056, -19776, 0, 0, -264288, 0, 0, 0, 0, 162912, 0, 0, 0, 0, 0, 57024, 167800, 0, 0, 196224, 0, -26544, 0, 0, 133800, -128704, 0, 0, 0, 0, 0, 45680, 0, 0, 0, 0, 41136, 0, 0, 41616, -212384, 0, 0, 0, 0, -6768, 0, 0, 0, -68928, 0, 40896, 0, 0, 0, -70272, 0, 0, 0, 0, -177216, 307448, 0, 0, 74608, 0, 0, 0, 0, 84360, 0, 0, 0, 0, 0, 15312, -14656, 0, 0, 220544, 0, -27840, 0, 0, 35616, 103680, 0, 0, 0, 0, 0, -118704, 0, 0, 0, 0, -473256, 0, 0, -30144, 277632, 0, 0, 0, 0, -3648, 0, 0, 0, 188840, 0, 16128, 0, 0, 0, 33408, 0, 0, 0, 0, 193608, -123072, 0, 0, 217344, 0, 0, 0, 0, -122112, 0, 0, 0, 0, 0, 51840, 462120, 0, 0, -183200, 0, 78360, 0, 0, 171072, 13632, 0, 0, 0, 0, 0, -5504, 0, 0, 0, 0, 357216, 0, 0, 41136, -164512, 0, 0, 0, 0, 44928, 0, 0, 0, -21504, 0, 40920, 0, 0, 0, 93376], 'weight': 4, 'weight_parity': 1}
• label 60.4.h.c does not appear in mf_hecke_nf
• 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

  
  {'Nk2': 960, 'analytic_conductor': 3.540114600344437, 'char_conductor': 60, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': 1, 'char_values': [60, 2, [31, 41, 37], [1, 1, 1]], 'conrey_index': 59, 'cusp_dim': 32, 'dim': 32, 'eis_dim': 8, 'eis_new_dim': 8, 'hecke_cutter_primes': [7], 'hecke_orbit_code': 481103446076, 'hecke_orbit_dims': [4, 4, 24], 'label': '60.4.h', 'level': 60, '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], 'level_radical': 30, 'mf_dim': 40, 'mf_new_dim': 40, 'num_forms': 3, 'prim_orbit_index': 8, 'relative_dim': 32, 'sturm_bound': 48, 'trace_bound': 4, 'trace_display': [0, 0, 0, 0], 'traces': [32, 0, 0, 2, 0, 14, 0, 0, -4, 18, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, -44, 0, 0, -118, -88, 0, 0, 0, 0, -52, 0, 0, 0, -468, 0, 194, 0, 0, 0, -246, 0, 0, 0, 0, -244, 244, 0, 0, 792, 0, 0, 0, 0, 974, 0, 0, 0, 0, 0, 1146, -296, 0, 0, 890, 0, -672, 0, 0, 340, 1768, 0, 0, 0, 0, 0, -996, 0, 0, 0, 0, -1240, 0, 0, -4088, -744, 0, 0, 0, 0, -2502, 0, 0, 0, -6092, 0, 2426, 0, 0, 0, -2998, 0, 0, 0, 0, 100, 3108, 0, 0, 1528, 0, 0, 0, 0, 8316, 0, 0, 0, 0, 0, 6200, 800, 0, 0, 10740, 0, -4232, 0, 0, 1924, 7488, 0, 0, 0, 0, 0, -3588, 0, 0, 0, 0, 3004, 0, 0, -16294, -2768, 0, 0, 0, 0, -10834, 0, 0, 0, -19008, 0, 5376, 0, 0, 0, -14382, 0, 0, 0, 0, -1344, 10732, 0, 0, -3040, 0, 0, 0, 0, 25072, 0, 0, 0, 0, 0, 17144, -4592, 0, 0, 30268, 0, -12876, 0, 0, -2444, 19596, 0, 0, 0, 0, 0, -15294, 0, 0, 0, 0, -6452, 0, 0, -36900, 7144, 0, 0, 0, 0, -25824, 0, 0, 0, -38276, 0, 19010, 0, 0, 0, -24384, 0, 0, 0, 0, 8924, 15084, 0, 0, -1760, 0, 0, 0, 0, 52992, 0, 0, 0, 0, 0, 33090, 13528, 0, 0, 60220, 0, -22088, 0, 0, 2212, 36042, 0, 0, 0, 0, 0, -25438, 0, 0, 0, 0, 13264, 0, 0, -65088, -6072, 0, 0, 0, 0, -44404, 0, 0, 0, -72900, 0, 24004, 0, 0, 0, -55664, 0, 0, 0, 0, -13896, 25728, 0, 0, -9232, 0, 0, 0, 0, 88710, 0, 0, 0, 0, 0, 54336, -19048, 0, 0, 86604, 0, -32292, 0, 0, -16292, 50052, 0, 0, 0, 0, 0, -37452, 0, 0, 0, 0, -21308, 0, 0, -101374, 21888, 0, 0, 0, 0, -64416, 0, 0, 0, -105884, 0, 46960, 0, 0, 0, -68724, 0, 0, 0, 0, 16612, 54996, 0, 0, 13648, 0, 0, 0, 0, 118752, 0, 0, 0, 0, 0, 71730, 42800, 0, 0, 135936, 0, -48932, 0, 0, 13048, 87552, 0, 0, 0, 0, 0, -41588, 0, 0, 0, 0, 40108, 0, 0, -135886, -29952, 0, 0, 0, 0, -86208, 0, 0, 0, -145308, 0, 57024, 0, 0, 0, -80806, 0, 0, 0, 0, -24784, 41888, 0, 0, -22760, 0, 0, 0, 0, 146620, 0, 0, 0, 0, 0, 103432, -66248, 0, 0, 146004, 0, -61056, 0, 0, -13440, 110440, 0, 0, 0, 0, 0, -93476, 0, 0, 0, 0, -73524, 0, 0, -171072, 34336, 0, 0, 0, 0, -110016, 0, 0, 0, -176708, 0, 64044, 0, 0, 0, -111204, 0, 0, 0, 0, 41064, 59388, 0, 0, 46664, 0, 0, 0, 0, 184884, 0, 0, 0, 0, 0, 112592, 56448, 0, 0, 176282, 0, -69082, 0, 0, 45820, 100002, 0, 0, 0, 0, 0, -39996, 0, 0, 0, 0, 109852, 0, 0, -204752, -55760, 0, 0, 0, 0, -113652, 0, 0, 0, -191412, 0, 70024, 0, 0, 0, -127488, 0, 0, 0, 0, -73604, 131380, 0, 0, -13608, 0, 0, 0, 0, 194464, 0, 0, 0, 0, 0, 124002, -103904, 0, 0, 226092, 0, -87168, 0, 0, -36584, 142464, 0, 0, 0, 0, 0, -56436, 0, 0, 0, 0, -114048, 0, 0, -206972, 54552, 0, 0, 0, 0, -128160, 0, 0, 0, -223984, 0, 84866, 0, 0, 0, -90464, 0, 0, 0, 0, 81792, 45060, 0, 0, 27888, 0, 0, 0, 0, 209376, 0, 0, 0, 0, 0, 135122, 159736, 0, 0, 178884, 0, -70160, 0, 0, 35312, 144876, 0, 0, 0, 0, 0, -135552, 0, 0, 0, 0, 126652, 0, 0, -217344, -113632, 0, 0, 0, 0, -137168, 0, 0, 0, -230316, 0, 83700, 0, 0, 0, -158982, 0, 0, 0, 0, -101804, 46152, 0, 0, -81024, 0, 0, 0, 0, 197404, 0, 0, 0, 0, 0, 124800, -187112, 0, 0, 202612, 0, -60480, 0, 0, -53900, 83512, 0, 0, 0, 0, 0, -39382, 0, 0, 0, 0, -192068, 0, 0, -176436, 143160, 0, 0, 0, 0, -114180, 0, 0, 0, -163220, 0, 69472, 0, 0, 0, -152448, 0, 0, 0, 0, 151324, 172236, 0, 0, 114448, 0, 0, 0, 0, 195840, 0, 0, 0, 0, 0, 108944, 216872, 0, 0, 221692, 0, -90442, 0, 0, 116156, 147648, 0, 0, 0, 0, 0, -51044, 0, 0, 0, 0, 236160, 0, 0, -165852, -108152, 0, 0, 0, 0, -92188, 0, 0, 0, -134016, 0, 70024, 0, 0, 0, -21156, 0, 0, 0, 0, -167688, -33548, 0, 0, -77936, 0, 0, 0, 0, 173752, 0, 0, 0, 0, 0, 100608, -249600, 0, 0, 109170, 0, -81120, 0, 0, -179324, 82500, 0, 0, 0, 0, 0, -170748, 0, 0, 0, 0, -294176, 0, 0, -121448, 175064, 0, 0, 0, 0, -85374, 0, 0, 0, -167040, 0, 11340, 0, 0, 0, -147440, 0, 0, 0, 0, 157056, -19776, 0, 0, 62104, 0, 0, 0, 0, 96492, 0, 0, 0, 0, 0, 57024, 347232, 0, 0, 93084, 0, -16820, 0, 0, 73900, -51204, 0, 0, 0, 0, 0, 86404, 0, 0, 0, 0, 358376, 0, 0, -64510, -231384, 0, 0, 0, 0, -45968, 0, 0, 0, -48408, 0, 40896, 0, 0, 0, -70272, 0, 0, 0, 0, -177216, 192364, 0, 0, -261112, 0, 0, 0, 0, 50200, 0, 0, 0, 0, 0, 1562, -359376, 0, 0, 99324, 0, 19140, 0, 0, -89264, 103680, 0, 0, 0, 0, 0, 94972, 0, 0, 0, 0, -409676, 0, 0, -30144, 277632, 0, 0, 0, 0, -3648, 0, 0, 0, 110188, 0, 16128, 0, 0, 0, 122508, 0, 0, 0, 0, 324508, -123072, 0, 0, 217344, 0, 0, 0, 0, -47052, 0, 0, 0, 0, 0, -25110, 439088, 0, 0, -96908, 0, 19400, 0, 0, 238032, 13632, 0, 0, 0, 0, 0, -254228, 0, 0, 0, 0, 455320, 0, 0, 107056, -278712, 0, 0, 0, 0, 44928, 0, 0, 0, -21504, 0, -35684, 0, 0, 0, -25374], 'weight': 4, 'weight_parity': 1}
• mf_twists_nf •

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

  
  
  • id: 50011
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 8, 'source_dim': 24, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '60.4.h.c', 'source_level': 60, 'target_char_orbit': 8, 'target_dim': 24, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '60.4.h.c', 'target_level': 60, 'twist_class_label': '60.4.h.c', 'twist_class_level': 60, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 4}
  • id: 50012
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 24, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '60.4.h.c', 'source_level': 60, 'target_char_orbit': 8, 'target_dim': 24, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '60.4.h.c', 'target_level': 60, 'twist_class_label': '60.4.h.c', 'twist_class_level': 60, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 4}
  • id: 50013
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 24, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '60.4.h.c', 'source_level': 60, 'target_char_orbit': 8, 'target_dim': 24, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '60.4.h.c', 'target_level': 60, 'twist_class_label': '60.4.h.c', 'twist_class_level': 60, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 4}
  • id: 50014
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 24, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '60.4.h.c', 'source_level': 60, 'target_char_orbit': 8, 'target_dim': 24, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '60.4.h.c', 'target_level': 60, 'twist_class_label': '60.4.h.c', 'twist_class_level': 60, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 4}
  • id: 50015
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 24, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '60.4.h.c', 'source_level': 60, 'target_char_orbit': 8, 'target_dim': 24, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '60.4.h.c', 'target_level': 60, 'twist_class_label': '60.4.h.c', 'twist_class_level': 60, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 4}
  • id: 50016
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 24, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '60.4.h.c', 'source_level': 60, 'target_char_orbit': 8, 'target_dim': 24, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '60.4.h.c', 'target_level': 60, 'twist_class_label': '60.4.h.c', 'twist_class_level': 60, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 4}
  • id: 50017
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 24, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '60.4.h.c', 'source_level': 60, 'target_char_orbit': 8, 'target_dim': 24, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '60.4.h.c', 'target_level': 60, 'twist_class_label': '60.4.h.c', 'twist_class_level': 60, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 4}
  • id: 50018
    {'conductor': 60, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 24, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '60.4.h.c', 'source_level': 60, 'target_char_orbit': 8, 'target_dim': 24, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '60.4.h.c', 'target_level': 60, 'twist_class_label': '60.4.h.c', 'twist_class_level': 60, 'twisting_char_label': '60.h', 'twisting_char_orbit': 8, 'weight': 4}
• hecke_orbit_code 9007680358187068 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 8, 'hecke_orbit': 3, 'label': '60.4.h.c', 'level': 60, 'portrait': 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', 'weight': 4}
• 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: 31093105
    {'hecke_orbit_code': 9007680358187068, 'n': 1, 'trace_an': 24}
  • id: 31093106
    {'hecke_orbit_code': 9007680358187068, 'n': 2, 'trace_an': 0}
  • id: 31093107
    {'hecke_orbit_code': 9007680358187068, 'n': 3, 'trace_an': 0}
  • id: 31093108
    {'hecke_orbit_code': 9007680358187068, 'n': 4, 'trace_an': 56}
  • id: 31093109
    {'hecke_orbit_code': 9007680358187068, 'n': 5, 'trace_an': 0}
  • id: 31093110
    {'hecke_orbit_code': 9007680358187068, 'n': 6, 'trace_an': 12}
  • id: 31093111
    {'hecke_orbit_code': 9007680358187068, 'n': 7, 'trace_an': 0}
  • id: 31093112
    {'hecke_orbit_code': 9007680358187068, 'n': 8, 'trace_an': 0}
  • id: 31093113
    {'hecke_orbit_code': 9007680358187068, 'n': 9, 'trace_an': 192}
  • id: 31093114
    {'hecke_orbit_code': 9007680358187068, 'n': 10, 'trace_an': -32}
  • id: 31093115
    {'hecke_orbit_code': 9007680358187068, 'n': 11, 'trace_an': 0}
  • id: 31093116
    {'hecke_orbit_code': 9007680358187068, 'n': 12, 'trace_an': 0}
  • id: 31093117
    {'hecke_orbit_code': 9007680358187068, 'n': 13, 'trace_an': 0}
  • id: 31093118
    {'hecke_orbit_code': 9007680358187068, 'n': 14, 'trace_an': 0}
  • id: 31093119
    {'hecke_orbit_code': 9007680358187068, 'n': 15, 'trace_an': 0}
  • id: 31093120
    {'hecke_orbit_code': 9007680358187068, 'n': 16, 'trace_an': -240}
  • id: 31093121
    {'hecke_orbit_code': 9007680358187068, 'n': 17, 'trace_an': 0}
  • id: 31093122
    {'hecke_orbit_code': 9007680358187068, 'n': 18, 'trace_an': 0}
  • id: 31093123
    {'hecke_orbit_code': 9007680358187068, 'n': 19, 'trace_an': 0}
  • id: 31093124
    {'hecke_orbit_code': 9007680358187068, 'n': 20, 'trace_an': 0}
  • id: 31093125
    {'hecke_orbit_code': 9007680358187068, 'n': 21, 'trace_an': -264}
  • id: 31093126
    {'hecke_orbit_code': 9007680358187068, 'n': 22, 'trace_an': 0}
  • id: 31093127
    {'hecke_orbit_code': 9007680358187068, 'n': 23, 'trace_an': 0}
  • id: 31093128
    {'hecke_orbit_code': 9007680358187068, 'n': 24, 'trace_an': 168}
  • id: 31093129
    {'hecke_orbit_code': 9007680358187068, 'n': 25, 'trace_an': -88}
  • id: 31093130
    {'hecke_orbit_code': 9007680358187068, 'n': 26, 'trace_an': 0}
  • id: 31093131
    {'hecke_orbit_code': 9007680358187068, 'n': 27, 'trace_an': 0}
  • id: 31093132
    {'hecke_orbit_code': 9007680358187068, 'n': 28, 'trace_an': 0}
  • id: 31093133
    {'hecke_orbit_code': 9007680358187068, 'n': 29, 'trace_an': 0}
  • id: 31093134
    {'hecke_orbit_code': 9007680358187068, 'n': 30, 'trace_an': -252}
  • id: 31093135
    {'hecke_orbit_code': 9007680358187068, 'n': 31, 'trace_an': 0}
  • id: 31093136
    {'hecke_orbit_code': 9007680358187068, 'n': 32, 'trace_an': 0}
  • id: 31093137
    {'hecke_orbit_code': 9007680358187068, 'n': 33, 'trace_an': 0}
  • id: 31093138
    {'hecke_orbit_code': 9007680358187068, 'n': 34, 'trace_an': -1088}
  • id: 31093139
    {'hecke_orbit_code': 9007680358187068, 'n': 35, 'trace_an': 0}
  • id: 31093140
    {'hecke_orbit_code': 9007680358187068, 'n': 36, 'trace_an': -1104}
  • id: 31093141
    {'hecke_orbit_code': 9007680358187068, 'n': 37, 'trace_an': 0}
  • id: 31093142
    {'hecke_orbit_code': 9007680358187068, 'n': 38, 'trace_an': 0}
  • id: 31093143
    {'hecke_orbit_code': 9007680358187068, 'n': 39, 'trace_an': 0}
  • id: 31093144
    {'hecke_orbit_code': 9007680358187068, 'n': 40, 'trace_an': 704}
  • id: 31093145
    {'hecke_orbit_code': 9007680358187068, 'n': 41, 'trace_an': 0}
  • id: 31093146
    {'hecke_orbit_code': 9007680358187068, 'n': 42, 'trace_an': 0}
  • id: 31093147
    {'hecke_orbit_code': 9007680358187068, 'n': 43, 'trace_an': 0}
  • id: 31093148
    {'hecke_orbit_code': 9007680358187068, 'n': 44, 'trace_an': 0}
  • id: 31093149
    {'hecke_orbit_code': 9007680358187068, 'n': 45, 'trace_an': 456}
  • id: 31093150
    {'hecke_orbit_code': 9007680358187068, 'n': 46, 'trace_an': 3368}
  • id: 31093151
    {'hecke_orbit_code': 9007680358187068, 'n': 47, 'trace_an': 0}
  • id: 31093152
    {'hecke_orbit_code': 9007680358187068, 'n': 48, 'trace_an': 0}
  • id: 31093153
    {'hecke_orbit_code': 9007680358187068, 'n': 49, 'trace_an': -1304}
  • id: 31093154
    {'hecke_orbit_code': 9007680358187068, 'n': 50, 'trace_an': 0}
  • id: 31093155
    {'hecke_orbit_code': 9007680358187068, 'n': 51, 'trace_an': 0}
  • id: 31093156
    {'hecke_orbit_code': 9007680358187068, 'n': 52, 'trace_an': 0}
  • id: 31093157
    {'hecke_orbit_code': 9007680358187068, 'n': 53, 'trace_an': 0}
  • id: 31093158
    {'hecke_orbit_code': 9007680358187068, 'n': 54, 'trace_an': 468}
  • id: 31093159
    {'hecke_orbit_code': 9007680358187068, 'n': 55, 'trace_an': 0}
  • id: 31093160
    {'hecke_orbit_code': 9007680358187068, 'n': 56, 'trace_an': 0}
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  • id: 31093200
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  • id: 31093201
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  • id: 31093202
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  • id: 31093203
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