Embedded newform data - 68.11.d.b.67.1

Formats: - HTML - YAML - JSON - 2024-06-16T11:45:57.691252

• 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': 8228, 'analytic_conductor': 43.204293181813235, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 68, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [68, 2, [35, 37], [1, 1]], 'cm_discs': [-68], 'conrey_index': 67, 'dim': 2, 'field_disc': 8, 'field_disc_factorization': [[2, 3]], 'field_poly': [-2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 8, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [-203522, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503805970350148, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 68, 4, -1, 2, -68], [1, 1, 4, 2, -1, 2, 0], [1, 1, 17, 2, 1, 2, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '68.11.d.b', 'level': 68, '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, 17], 'level_radical': 34, 'minimal_twist': '68.11.d.b', 'nf_label': '2.2.8.1', 'prim_orbit_index': 4, 'qexp_display': 'q+2^{5}q^{2}+319\\beta q^{3}+2^{10}q^{4}+10208\\beta q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '10.2.1.d2', 'self_twist_discs': [-68], 'self_twist_type': 1, 'space_label': '68.11.d', 'trace_display': [64, 0, 0, 0], 'trace_hash': 542227823848968027, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.816', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.072', 'prec': 17}, {'__RealLiteral__': 0, 'data': '20.882', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1.663', 'prec': 17}, {'__RealLiteral__': 0, 'data': '268.831', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.762', 'prec': 17}, 'traces': [2, 64, 0, 2048, 0, 0, 0, 65536, 288946, 0, 0, 0, -1485136, 0, 0, 2097152, -2839714, 9246272, 0, 0, 16548444, 0, 0, 0, 19531250, -47524352, 0, 0, 0, 0, 0, 67108864, 66128700, -90870848, 0, 295880704, 0, 0, 0, 0, 0, 529550208, 0, 0, 0, 0, 0, 0, 107829346, 625000000, 0, -1520779264, 1615498636, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2147483648, 0, 2116118400, 0, -2907867136, -7875248700, 0, 0, 9468182528, 0, 0, 0, 0, 2688473700, 0, 0, 0, 17709354302, 0, 0, 16945606656, 0, 0, 0, 0, 17085864704, 0, 0, 0, -46487274108, 0, 0, 0, 0, 3450539072, 0, 20000000000, -17808498448, 0, 0, -48664936448, 0, 51695956352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -214562053328, 0, 0, 0, -41131526702, 0, 0, 0, 0, 0, 0, 68719476736, 0, 0, 0, 67715788800, 0, 0, 0, -93051748352, -106644998464, -252007958400, 0, 0, 0, 0, 0, 302981840896, 0, 0, 0, 0, 124271659252, 0, 0, 0, -410262000722, 86031158400, 0, 0, 12297005164, 0, 0, 0, -320169593700, 566699337664, 0, 0, 0, 0, 0, 542259412992, 827097485550, 0, 0, 0, 0, 0, 0, 0, 0, 546747670528, 0, 0, 0, 0, 0, 0, 0, -1487592771456, 0, 0, 1413634280256, 0, 0, 0, 0, 0, 0, 110417250304, 0, 0, 0, 640000000000, 0, -569871950336, 0, 0, 0, 0, 0, -1557277966336, 0, 0, 0, 1654270603264, -3238340962692, 0, 0, 0, -1889948143908, 0, 0, 0, 2108680745552, 0, 0, 0, 2821738281250, 0, 0, 0, -906057047152, 0, 0, 0, 0, -6865985706496, 0, 0, 5380956013092, 0, 0, 0, 0, -1316208854464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1279419322500, 0, 0, 2199023255552, 3908904904736, 0, 0, 0, 0, 0, 0, 2166905241600, 0, 0, 0, 0, 0, 0, 0, -2977655947264, -12288344964192, -3412639950848, 0, -8064254668800, 0, 0, 0, 0, 1587743202148, 0, 0, 0, 0, 0, 0, 9695418908672, 4031987800898, 0, 0, 0, 2668739506228, 0, 0, 0, 5648978068800, 3976693096064, 0, 0, 0, 0, 0, 0, 0, -13128384023104, 0, 2752997068800, 0, 0, 0, 0, 0, 393504165248, 0, 0, 0, 0, 0, 0, 7898051992644, -10245426998400, 0, 18134378805248, -14503281250000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17352301215744, 0, 26467119537600, 0, 0, -7552360440900, 0, 0, 0, 0, 0, 0, 0, 11993201868652, 0, 0, 0, -6122397735164, 0, 0, 17495925456896, -23496424052508, 0, 0, 0, 12262132515602, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -47602968686592, 1599940128464, 0, 0, 0, 0, 45236296968192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4188105521296, 0, 0, 3533352009728, -49388062604892, 0, 0, 0, 0, 0, 0, 20480000000000, 0, 0, 0, -18235902410752, 0, 0, 0, 0, 43763380084252, 0, 0, 0, 0, 0, 0, -49832894922752, -69934785423492, 0, 0, 0, -26975029100848, 0, 0, 52936659304448, -27731582031250, -103626910806144, 0, 0, -49105056501600, 0, 0, 0, 5616662567072, -60478340605056, 0, 0, 0, 0, 0, 0, 15578429104658, 67477783857664, 0, 0, 0, 0, 0, 0, 0, 90295625000000, 0, 0, 0, 0, 0, 0, 79171201394336, -28993825508864, 0, 0, 79329870028204, 0, 0, 0, 0, 0, 0, -219711542607872, 0, 0, 0, 0, 0, 172190592418944, 0, 0, 233395934438828, 0, 0, 0, 0, 0, 0, -42118683342848, 0, 0, 0, 0, 122263095763644, 0, 0, 0, 0, 0, 0, 0, -131655310172892, 0, 0, 0, 23223034662300, 0, 0, 0, 0, -40941418320000, 0, 0, -112778382055148, 0, 0, 70368744177664, 0, 125084956951552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 161605898437500, 0, 0, 69340967731200, 69512672895202, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -95284990312448, 0, -393227038854144, 0, -109204478427136, 0, 0, 0, -258056149401600, 218763694463292, 0, 0, 0, -170081419537264, 0, 0, 0, -93893297595900, 50807782468736, 0, 0, 0, 0, 0, 0, -126532626949604, 0, 0, 0, 0, 0, 0, 310253405077504, 248616963804128, 129023609628736, 0, 0, 0, 0, 0, 0, 0, 85399664199296, 0, 0, 0, 0, 0, 0, -38185338295364, 180767298201600, 0, 127254179074048, -561351627589500, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -420108288739328, -318354546671564, 0, 0, 88095906201600, 0, 0, 0, 0, -672735244948800, 0, 0, 0, 190734863281250, 0, 0, 12592133287936, 0, 0, 0, 0, 667892309167908, 0, 0, 0, -80070621800528, 0, 0, 0, 0, 252737663764608, 0, -327853663948800, 0, 0, 0, 580300121767936, 0, -464105000000000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 467963114690548, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 555273638903808, 0, 0, 0, 846947825203200, 0, 0, 0, 0, -1085422452842244, -241675534108800, 0, 0, 0, 0, 0, 0, -1199617591137248, 0, 0, 0, 388411860860100, 0, 0, 0, 0, 383782459796864, 0, 0, -155313649111504, 0, 0, 0, 0, -195916727525248, 0, 0, 0, 0, 0, 559869614620672, 899408528280900, -751885569680256, 0, 0, 0, 0, 0, 0, 0, 392388240499264, 0, 0, 0, 0, 0, 0, 505311476362702, 0, 0, 0, 426748257708436, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1523294997970944, 0, 51198084110848, 0, 0, 321096665494044, 0, 0, 0, 0, 0, 0, 1447561502982144, 760997127039728, 0, 0, 0, -1017243528888448, 0, 0, 0, 0, 0, 0, 0, 532161303558848, 0, 0, 0, 1075378131187664, 0, 0, 0, 0, -134019376681472, 0, 0, -526103512199100, 0, 0, 113067264311296, 0, -1580418003356544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1266135710640236, 0, 0, 655360000000000, 2468446131380992, 0, 0, 0, 0, 0, 0, -583548877144064, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1400428162696064, 0, 0, 0, 0, 0, 0, 645788085937500, 0, 0, 0, -420525655926548, 0, 0, -1594652637528064, -153102251723522, -2237913133551744, 0, 0, -3971128903401792, 0, 0, 0, 841414466600402, -863200931227136, 0, 0, 0, 0, 0, 1693973097742336, 610398369104700, -887410625000000, 0, -3316061145796608, 0, 0, 0, 0, 0, -1571361808051200, 0, 0, 0, 0, 0, 0, 0, 179733202146304, 0, -1935306899361792, 874194499619100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 498509731349056, 0, 2159289083445248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5847907676661600, 0, 0, 2889460000000000, -2293777046815052, 0, 0, 0, 0, 0, 0, 0, -2572847196277904, 0, 0, 0, 0, 2533478444618752, 0, -927802416283648, -2007880200385092, 0, 0, 0, 0, 2538555840902528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4406276345094492, 0, 0, -7030769363451904, -1516413053148836, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5510098957406208, 0, 0, 0, 0, -2333432912309536, 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• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [1.0, 0.0], [-1.8565190386708532, 0.0], [1.0, 0.0], [0.0, 0.0], [-1.8565190386708532, 0.0], [-1.0912676676632753, 0.0], [1.0, 0.0], [2.446662940947349, 0.0], [0.0, 0.0], [-0.4550832833697751, 0.0], [-1.8565190386708532, 0.0], [-1.9999515207666183, 0.0], [-1.0912676676632753, 0.0], [0.0, 0.0], [1.0, 0.0], [-1.0, 0.0], [2.446662940947349, 0.0], [0.0, 0.0], [0.0, 0.0], [2.025959201302808, 0.0], [-0.4550832833697751, 0.0], [1.3560928340197729, 0.0], [-1.8565190386708532, 0.0], [1.0, 0.0], [-1.9999515207666183, 0.0], [-2.6857572924083213, 0.0], [-1.0912676676632753, 0.0], [0.0, 0.0], [0.0, 0.0], [1.7996578093923972, 0.0], [1.0, 0.0], [0.8448707797568303, 0.0], [-1.0, 0.0], [0.0, 0.0], [2.446662940947349, 0.0], [0.0, 0.0], [0.0, 0.0], [3.712948074721953, 0.0], [0.0, 0.0], [0.0, 0.0], [2.025959201302808, 0.0], [0.0, 0.0], [-0.4550832833697751, 0.0], [0.0, 0.0], [1.3560928340197729, 0.0], [0.0, 0.0], [-1.8565190386708532, 0.0], [0.19086512248724488, 0.0], [1.0, 0.0], [1.8565190386708532, 0.0], [-1.9999515207666183, 0.0], [1.931511294407948, 0.0], [-2.6857572924083213, 0.0], [0.0, 0.0], [-1.0912676676632753, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.7996578093923972, 0.0], [-2.6699641611257836, 0.0], [1.0, 0.0], [0.0, 0.0], [0.8448707797568303, 0.0], [0.0, 0.0], [-1.0, 0.0], [-2.5176121645628218, 0.0], [0.0, 0.0], [1.9892765048092171, 0.0], [2.446662940947349, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.8565190386708532, 0.0], [0.0, 0.0], [0.49661767323547995, 0.0], [3.712948074721953, 0.0], [-1.9381541207100654, 0.0], [0.0, 0.0], [2.5394966056577815, 0.0], [0.0, 0.0], [0.0, 0.0], [2.025959201302808, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.4550832833697751, 0.0], [1.5298784746157885, 0.0], [0.0, 0.0], [2.182482431506608, 0.0], [1.3560928340197729, 0.0], [-3.341098986229667, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.8565190386708532, 0.0], [0.0, 0.0], [0.19086512248724488, 0.0], [-1.1134354044654697, 0.0], [1.0, 0.0], 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[0.0, 0.0], [1.686349777421864, 0.0], [1.2056991337457594, 0.0], [0.0, 0.0], [2.238768230907042, 0.0], [0.0, 0.0], [-1.5270018641597887, 0.0], [0.0, 0.0], [0.0, 0.0], [2.747388754903161, 0.0], [0.0, 0.0], [-0.792899205197385, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-2.0288665046353573, 0.0], [-1.6301022876157636, 0.0], [-0.2173816137177665, 0.0], [3.712948074721953, 0.0], [0.0, 0.0], [1.395246485295212, 0.0], [2.1863570984237204, 0.0], [-0.6962221193848961, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.976288531824304, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.2179191618891834, 0.0], [1.7996578093923972, 0.0], [0.0, 0.0], [-2.170833131740507, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.14434170223105933, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, -0.4393475309078668, 0.0, -0.3418555229580357, -0.2865343916485511, -0.4988918491582262, None, 0.0, -0.13141341346764798, 0.0, -0.07184559269756045, 0.0, 0.0, 0.0, 0.0, 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0.0, -0.09034190445477447, -0.26733292174325646, 0.0, -0.26149634250584053, -0.10640310528868903, -0.40447831233681564, 0.0, 0.0, 0.0, -0.10669474845537331, -0.3957637561195445, 0.0, -0.3389740094699559, -0.028448150615549447, -0.037864227695898395, 0.0, -0.27077867120808863, 0.0, 0.0, -0.35429116573481023, -0.4357004336360614, 0.0, -0.2713411994086033, 0.0, 0.0, -0.20847648712519082, 0.0, 0.0, 0.0, -0.06113063289042863, 0.0, 0.0, -0.1399926210972632, -0.07935162238056852, -0.2868352685902923, 0.0, -0.2847371688661564, 0.0, -0.1658960621751977, 0.0, -0.25081430925585724, -0.4628336404918573, -0.11129011735991846, -0.4865254508838659, -0.16763695081687793, -0.03630138052031249, -0.1367009171454507, -0.47176304377603556, 0.0, -0.43412772434056246, 0.0, -0.1739920836783984, -0.09776649677551588, -0.29326555526836384, -0.3084012778638265, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.08670962711822174, -0.43472119861893815, -0.11089802947546577, 0.0, 0.0, -0.3379448003784523, 0.0, -0.180384021799577, -0.3830884385022196, 0.0, 0.0, -0.12712048305499793, -0.33116300658318987, -0.35420642181916345, 0.0], 'char_orbit_index': 4, 'conrey_index': 67, 'dual_conrey_index': 67, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.4142135623730951, 'hecke_orbit': 2, 'hecke_orbit_code': 4503805970350148, 'label': '68.11.d.b.67.1', 'level': 68, 'weight': 11}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_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': 8228, 'analytic_conductor': 43.204293181813235, 'char_conductor': 68, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [68, 2, [35, 37], [1, 1]], 'conrey_index': 67, 'cusp_dim': 88, 'dim': 88, 'eis_dim': 4, 'eis_new_dim': 4, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 206342979652, 'hecke_orbit_dims': [2, 2, 84], 'label': '68.11.d', 'level': 68, '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, 17], 'level_radical': 34, 'mf_dim': 92, 'mf_new_dim': 92, 'num_forms': 3, 'prim_orbit_index': 4, 'relative_dim': 88, 'sturm_bound': 99, 'trace_bound': 2, 'trace_display': [-2, 0, 0, 0], 'traces': [88, -2, 0, 1218, 0, 0, 0, -2, 1674576, 0, 0, 0, -145672, 0, 0, -579582, -2093040, -220398, 0, 0, -236200, 0, 0, 0, -152557544, -44048620, 0, 0, 0, 28181760, 0, 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• 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: 34981178
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 67, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503805970350148, 'source_is_minimal': True, 'source_label': '68.11.d.b.67.1', 'source_level': 68, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503805970350148, 'target_is_minimal': True, 'target_label': '68.11.d.b.67.1', 'target_level': 68, 'twist_class_label': '68.11.d.b.67.1', 'twist_class_level': 68, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 11}
  • id: 34981179
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 67, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503805970350148, 'source_is_minimal': True, 'source_label': '68.11.d.b.67.1', 'source_level': 68, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503805970350148, 'target_is_minimal': True, 'target_label': '68.11.d.b.67.2', 'target_level': 68, 'twist_class_label': '68.11.d.b.67.1', 'twist_class_level': 68, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 11}
  • id: 34981180
    {'conductor': 17, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 67, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503805970350148, 'source_is_minimal': True, 'source_label': '68.11.d.b.67.1', 'source_level': 68, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503805970350148, 'target_is_minimal': True, 'target_label': '68.11.d.b.67.2', 'target_level': 68, 'twist_class_label': '68.11.d.b.67.1', 'twist_class_level': 68, 'twisting_char_label': '17.16', 'twisting_conrey_index': 16, 'weight': 11}
  • id: 34981181
    {'conductor': 68, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 67, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503805970350148, 'source_is_minimal': True, 'source_label': '68.11.d.b.67.1', 'source_level': 68, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503805970350148, 'target_is_minimal': True, 'target_label': '68.11.d.b.67.1', 'target_level': 68, 'twist_class_label': '68.11.d.b.67.1', 'twist_class_level': 68, 'twisting_char_label': '68.67', 'twisting_conrey_index': 67, 'weight': 11}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 218125
    {'charpoly_factorization': [[[-32, 1], 2]], 'hecke_orbit_code': 4503805970350148, 'p': 2}
  • id: 218126
    {'charpoly_factorization': [[[-203522, 0, 1], 1]], 'hecke_orbit_code': 4503805970350148, 'p': 3}
  • id: 218127
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805970350148, 'p': 5}
  • id: 218128
    {'charpoly_factorization': [[[-336389922, 0, 1], 1]], 'hecke_orbit_code': 4503805970350148, 'p': 7}
  • id: 218129
    {'charpoly_factorization': [[[-5371661250, 0, 1], 1]], 'hecke_orbit_code': 4503805970350148, 'p': 11}
  • id: 218130
    {'charpoly_factorization': [[[742568, 1], 2]], 'hecke_orbit_code': 4503805970350148, 'p': 13}
  • id: 218131
    {'charpoly_factorization': [[[1419857, 1], 2]], 'hecke_orbit_code': 4503805970350148, 'p': 17}
  • id: 218132
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805970350148, 'p': 19}
  • id: 218133
    {'charpoly_factorization': [[[-76182847661250, 0, 1], 1]], 'hecke_orbit_code': 4503805970350148, 'p': 23}
  • id: 218134
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805970350148, 'p': 29}
  • id: 218135
    {'charpoly_factorization': [[[-2654586057026178, 0, 1], 1]], 'hecke_orbit_code': 4503805970350148, 'p': 31}
  • id: 218136
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805970350148, 'p': 37}
  • id: 218137
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805970350148, 'p': 41}
  • id: 218138
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805970350148, 'p': 43}
  • id: 218139
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805970350148, 'p': 47}
  • id: 218140
    {'charpoly_factorization': [[[-807749318, 1], 2]], 'hecke_orbit_code': 4503805970350148, 'p': 53}
  • id: 218141
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805970350148, 'p': 59}
  • id: 218142
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805970350148, 'p': 61}
  • id: 218143
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805970350148, 'p': 67}
  • id: 218144
    {'charpoly_factorization': [[[-12881718181141288578, 0, 1], 1]], 'hecke_orbit_code': 4503805970350148, 'p': 71}
  • id: 218145
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805970350148, 'p': 73}
  • id: 218146
    {'charpoly_factorization': [[[-35567024221989455778, 0, 1], 1]], 'hecke_orbit_code': 4503805970350148, 'p': 79}
  • id: 218147
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805970350148, 'p': 83}
  • id: 218148
    {'charpoly_factorization': [[[-8542932352, 1], 2]], 'hecke_orbit_code': 4503805970350148, 'p': 89}
  • id: 218149
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503805970350148, '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': 4, 'hecke_orbit': 2, 'label': '68.11.d.b', 'level': 68, 'portrait': 'data:image/png;base64,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', 'weight': 11}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 21851803
    {'hecke_orbit_code': 4503805970350148, 'n': 1, 'trace_an': 2}
  • id: 21851804
    {'hecke_orbit_code': 4503805970350148, 'n': 2, 'trace_an': 64}
  • id: 21851805
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